Qwen3-235B-A22B-GPTQ-Int8

91
235.0B
license:apache-2.0
by
QuantTrio
Language Model
OTHER
235B params
New
91 downloads
Early-stage
Edge AI:
Mobile
Laptop
Server
526GB+ RAM
Mobile
Laptop
Server
Quick Summary

AI model with specialized capabilities.

Device Compatibility

Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
219GB+ RAM

Code Examples

Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
Qwen3-235B-A22B-GPTQ-Int8textvllm
2025-08-19
1.[BugFix] Fix compatibility issues with vLLM 0.10.1

2025-05-09
1. fast commit
2. Confirmed support for launching with 8 GPUs using `tensor-parallel-size` + `expert-parallel`
3. Must be launched with `gptq_marlin`; does not support Compute 7 GPUs: vLLM has not implemented native GPTQ MoE module
2. A Small Bug Exists in gptq_marlin.py and Requires Patchingtext
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2. A Small Bug Exists in gptq_marlin.py and Requires Patchingtext
Otherwise, you may encounter the following error:
2. A Small Bug Exists in gptq_marlin.py and Requires Patchingtext
Otherwise, you may encounter the following error:
2. A Small Bug Exists in gptq_marlin.py and Requires Patchingtext
Otherwise, you may encounter the following error:
2. A Small Bug Exists in gptq_marlin.py and Requires Patchingtext
Otherwise, you may encounter the following error:
2. A Small Bug Exists in gptq_marlin.py and Requires Patchingtext
Otherwise, you may encounter the following error:
2. A Small Bug Exists in gptq_marlin.py and Requires Patchingtext
Otherwise, you may encounter the following error:
2. A Small Bug Exists in gptq_marlin.py and Requires Patchingtext
Otherwise, you may encounter the following error:
2. A Small Bug Exists in gptq_marlin.py and Requires Patchingtext
Otherwise, you may encounter the following error:
2. A Small Bug Exists in gptq_marlin.py and Requires Patchingtext
Otherwise, you may encounter the following error:
2. A Small Bug Exists in gptq_marlin.py and Requires Patchingtext
Otherwise, you may encounter the following error:
2. A Small Bug Exists in gptq_marlin.py and Requires Patchingtext
Otherwise, you may encounter the following error:
2. A Small Bug Exists in gptq_marlin.py and Requires Patchingtext
Otherwise, you may encounter the following error:
2. A Small Bug Exists in gptq_marlin.py and Requires Patchingtext
Otherwise, you may encounter the following error:
2. A Small Bug Exists in gptq_marlin.py and Requires Patchingtext
Otherwise, you may encounter the following error:
2. A Small Bug Exists in gptq_marlin.py and Requires Patchingtext
Otherwise, you may encounter the following error:
2. A Small Bug Exists in gptq_marlin.py and Requires Patchingtext
Otherwise, you may encounter the following error:
2. A Small Bug Exists in gptq_marlin.py and Requires Patchingtext
Otherwise, you may encounter the following error:
2. A Small Bug Exists in gptq_marlin.py and Requires Patchingtext
Otherwise, you may encounter the following error:
2. A Small Bug Exists in gptq_marlin.py and Requires Patchingtext
Otherwise, you may encounter the following error:
2. A Small Bug Exists in gptq_marlin.py and Requires Patchingtext
Otherwise, you may encounter the following error:
2. A Small Bug Exists in gptq_marlin.py and Requires Patchingtext
Otherwise, you may encounter the following error:
2. A Small Bug Exists in gptq_marlin.py and Requires Patchingtext
Otherwise, you may encounter the following error:
2. A Small Bug Exists in gptq_marlin.py and Requires Patchingtext
Otherwise, you may encounter the following error:
2. A Small Bug Exists in gptq_marlin.py and Requires Patchingtext
Otherwise, you may encounter the following error:
2. A Small Bug Exists in gptq_marlin.py and Requires Patchingtext
Otherwise, you may encounter the following error:
2. A Small Bug Exists in gptq_marlin.py and Requires Patchingtext
Otherwise, you may encounter the following error:
2. A Small Bug Exists in gptq_marlin.py and Requires Patchingtext
Otherwise, you may encounter the following error:
2. A Small Bug Exists in gptq_marlin.py and Requires Patchingtext
Otherwise, you may encounter the following error:
2. A Small Bug Exists in gptq_marlin.py and Requires Patchingtext
Otherwise, you may encounter the following error:
2. A Small Bug Exists in gptq_marlin.py and Requires Patchingtext
Otherwise, you may encounter the following error:
2. A Small Bug Exists in gptq_marlin.py and Requires Patchingtext
Otherwise, you may encounter the following error:
2. A Small Bug Exists in gptq_marlin.py and Requires Patchingtext
Otherwise, you may encounter the following error:
2. A Small Bug Exists in gptq_marlin.py and Requires Patchingtext
Otherwise, you may encounter the following error:
2. A Small Bug Exists in gptq_marlin.py and Requires Patchingtext
Otherwise, you may encounter the following error:
2. A Small Bug Exists in gptq_marlin.py and Requires Patchingtext
Otherwise, you may encounter the following error:
2. A Small Bug Exists in gptq_marlin.py and Requires Patchingtext
Otherwise, you may encounter the following error:
2. A Small Bug Exists in gptq_marlin.py and Requires Patchingtext
Otherwise, you may encounter the following error:
2. A Small Bug Exists in gptq_marlin.py and Requires Patchingtext
Otherwise, you may encounter the following error:
2. A Small Bug Exists in gptq_marlin.py and Requires Patchingtext
Otherwise, you may encounter the following error:
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use
textllama.cpp
For `llama.cpp`, you need to regenerate the GGUF file after the modification.

- Passing command line arguments:

  For `vllm`, you can use

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