GLM-4.6-REAP-268B-A32B-GPTQMODEL-W4A16-V2

15
dataset:SWE-bench/SWE-smith-trajectories
by
avtc
Language Model
OTHER
268B params
New
15 downloads
Early-stage
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Edge AI:
Mobile
Laptop
Server
600GB+ RAM
Mobile
Laptop
Server
Quick Summary

AI model with specialized capabilities.

Device Compatibility

Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
250GB+ RAM

Code Examples

🚀 Quick Start / Run Commandbashvllm
export VLLM_ATTENTION_BACKEND="FLASHINFER"
export TORCH_CUDA_ARCH_LIST="8.6"
export CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7
export VLLM_MARLIN_USE_ATOMIC_ADD=1
export SAFETENSORS_FAST_GPU=1

vllm serve avtc/GLM-4.6-REAP-268B-A32B-GPTQMODEL-W4A16 \
    -tp 8 \
    --port 8000 \
    --host 0.0.0.0 \
    --uvicorn-log-level info \
    --trust-remote-code \
    --gpu-memory-utilization 0.92 \
    --max-num-seqs 1 \
    --trust-remote-code \
    --dtype=float16 \
    --seed 1234 \
    --max-model-len 202752 \
    --tool-call-parser glm45 \
    --reasoning-parser glm45 \
    --enable-auto-tool-choice \
    --enable-expert-parallel \
    --enable-sleep-mode \
    --compilation-config '{"level": 3, "cudagraph_capture_sizes": [1]}' \
    --kv-cache-dtype fp8_e5m2

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