Qwen2.5-test-2
1
1
1.5B
license:apache-2.0
by
Sakalti
Language Model
OTHER
1.5B params
New
1 downloads
Early-stage
Edge AI:
Mobile
Laptop
Server
4GB+ RAM
Mobile
Laptop
Server
Quick Summary
AI model with specialized capabilities.
Device Compatibility
Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
2GB+ RAM
Code Examples
Configurationyaml
slices:
- sources:
- model: Qwen/Qwen2.5-1.5B-Instruct
layer_range: [0, 28]
- sources:
- model: Qwen/Qwen2.5-1.5B-Instruct
layer_range: [22, 25]
merge_method: passthrough
dtype: bfloat16Configurationyaml
slices:
- sources:
- model: Qwen/Qwen2.5-1.5B-Instruct
layer_range: [0, 28]
- sources:
- model: Qwen/Qwen2.5-1.5B-Instruct
layer_range: [22, 25]
merge_method: passthrough
dtype: bfloat16Configurationyaml
slices:
- sources:
- model: Qwen/Qwen2.5-1.5B-Instruct
layer_range: [0, 28]
- sources:
- model: Qwen/Qwen2.5-1.5B-Instruct
layer_range: [22, 25]
merge_method: passthrough
dtype: bfloat16Configurationyaml
slices:
- sources:
- model: Qwen/Qwen2.5-1.5B-Instruct
layer_range: [0, 28]
- sources:
- model: Qwen/Qwen2.5-1.5B-Instruct
layer_range: [22, 25]
merge_method: passthrough
dtype: bfloat16Configurationyaml
slices:
- sources:
- model: Qwen/Qwen2.5-1.5B-Instruct
layer_range: [0, 28]
- sources:
- model: Qwen/Qwen2.5-1.5B-Instruct
layer_range: [22, 25]
merge_method: passthrough
dtype: bfloat16Configurationyaml
slices:
- sources:
- model: Qwen/Qwen2.5-1.5B-Instruct
layer_range: [0, 28]
- sources:
- model: Qwen/Qwen2.5-1.5B-Instruct
layer_range: [22, 25]
merge_method: passthrough
dtype: bfloat16Configurationyaml
slices:
- sources:
- model: Qwen/Qwen2.5-1.5B-Instruct
layer_range: [0, 28]
- sources:
- model: Qwen/Qwen2.5-1.5B-Instruct
layer_range: [22, 25]
merge_method: passthrough
dtype: bfloat16Configurationyaml
slices:
- sources:
- model: Qwen/Qwen2.5-1.5B-Instruct
layer_range: [0, 28]
- sources:
- model: Qwen/Qwen2.5-1.5B-Instruct
layer_range: [22, 25]
merge_method: passthrough
dtype: bfloat16Configurationyaml
slices:
- sources:
- model: Qwen/Qwen2.5-1.5B-Instruct
layer_range: [0, 28]
- sources:
- model: Qwen/Qwen2.5-1.5B-Instruct
layer_range: [22, 25]
merge_method: passthrough
dtype: bfloat16Configurationyaml
slices:
- sources:
- model: Qwen/Qwen2.5-1.5B-Instruct
layer_range: [0, 28]
- sources:
- model: Qwen/Qwen2.5-1.5B-Instruct
layer_range: [22, 25]
merge_method: passthrough
dtype: bfloat16Configurationyaml
slices:
- sources:
- model: Qwen/Qwen2.5-1.5B-Instruct
layer_range: [0, 28]
- sources:
- model: Qwen/Qwen2.5-1.5B-Instruct
layer_range: [22, 25]
merge_method: passthrough
dtype: bfloat16Configurationyaml
slices:
- sources:
- model: Qwen/Qwen2.5-1.5B-Instruct
layer_range: [0, 28]
- sources:
- model: Qwen/Qwen2.5-1.5B-Instruct
layer_range: [22, 25]
merge_method: passthrough
dtype: bfloat16Configurationyaml
slices:
- sources:
- model: Qwen/Qwen2.5-1.5B-Instruct
layer_range: [0, 28]
- sources:
- model: Qwen/Qwen2.5-1.5B-Instruct
layer_range: [22, 25]
merge_method: passthrough
dtype: bfloat16Configurationyaml
slices:
- sources:
- model: Qwen/Qwen2.5-1.5B-Instruct
layer_range: [0, 28]
- sources:
- model: Qwen/Qwen2.5-1.5B-Instruct
layer_range: [22, 25]
merge_method: passthrough
dtype: bfloat16Configurationyaml
slices:
- sources:
- model: Qwen/Qwen2.5-1.5B-Instruct
layer_range: [0, 28]
- sources:
- model: Qwen/Qwen2.5-1.5B-Instruct
layer_range: [22, 25]
merge_method: passthrough
dtype: bfloat16Configurationyaml
slices:
- sources:
- model: Qwen/Qwen2.5-1.5B-Instruct
layer_range: [0, 28]
- sources:
- model: Qwen/Qwen2.5-1.5B-Instruct
layer_range: [22, 25]
merge_method: passthrough
dtype: bfloat16Configurationyaml
slices:
- sources:
- model: Qwen/Qwen2.5-1.5B-Instruct
layer_range: [0, 28]
- sources:
- model: Qwen/Qwen2.5-1.5B-Instruct
layer_range: [22, 25]
merge_method: passthrough
dtype: bfloat16Configurationyaml
slices:
- sources:
- model: Qwen/Qwen2.5-1.5B-Instruct
layer_range: [0, 28]
- sources:
- model: Qwen/Qwen2.5-1.5B-Instruct
layer_range: [22, 25]
merge_method: passthrough
dtype: bfloat16Deploy This Model
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