QwenFocusedCoder

1
—
by
djuna-test-lab
Language Model
OTHER
2203.05482B params
New
1 downloads
Early-stage
Try on Hugging FaceAdd to Compare
Edge AI:
Mobile
Laptop
Server
4925GB+ RAM
Mobile
Laptop
Server
Quick Summary

AI model with specialized capabilities.

Device Compatibility

Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
2052GB+ RAM

Code Examples

Configurationyaml
models:
  - model: Qwen/Qwen2.5-Coder-0.5B-Instruct
    parameters:
      weight: 1.0
  - model: Qwen/Qwen2.5-0.5B-Instruct
    parameters:
      weight: -0.25
merge_method: linear
dtype: float16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-Coder-0.5B-Instruct
    parameters:
      weight: 1.0
  - model: Qwen/Qwen2.5-0.5B-Instruct
    parameters:
      weight: -0.25
merge_method: linear
dtype: float16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-Coder-0.5B-Instruct
    parameters:
      weight: 1.0
  - model: Qwen/Qwen2.5-0.5B-Instruct
    parameters:
      weight: -0.25
merge_method: linear
dtype: float16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-Coder-0.5B-Instruct
    parameters:
      weight: 1.0
  - model: Qwen/Qwen2.5-0.5B-Instruct
    parameters:
      weight: -0.25
merge_method: linear
dtype: float16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-Coder-0.5B-Instruct
    parameters:
      weight: 1.0
  - model: Qwen/Qwen2.5-0.5B-Instruct
    parameters:
      weight: -0.25
merge_method: linear
dtype: float16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-Coder-0.5B-Instruct
    parameters:
      weight: 1.0
  - model: Qwen/Qwen2.5-0.5B-Instruct
    parameters:
      weight: -0.25
merge_method: linear
dtype: float16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-Coder-0.5B-Instruct
    parameters:
      weight: 1.0
  - model: Qwen/Qwen2.5-0.5B-Instruct
    parameters:
      weight: -0.25
merge_method: linear
dtype: float16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-Coder-0.5B-Instruct
    parameters:
      weight: 1.0
  - model: Qwen/Qwen2.5-0.5B-Instruct
    parameters:
      weight: -0.25
merge_method: linear
dtype: float16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-Coder-0.5B-Instruct
    parameters:
      weight: 1.0
  - model: Qwen/Qwen2.5-0.5B-Instruct
    parameters:
      weight: -0.25
merge_method: linear
dtype: float16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-Coder-0.5B-Instruct
    parameters:
      weight: 1.0
  - model: Qwen/Qwen2.5-0.5B-Instruct
    parameters:
      weight: -0.25
merge_method: linear
dtype: float16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-Coder-0.5B-Instruct
    parameters:
      weight: 1.0
  - model: Qwen/Qwen2.5-0.5B-Instruct
    parameters:
      weight: -0.25
merge_method: linear
dtype: float16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-Coder-0.5B-Instruct
    parameters:
      weight: 1.0
  - model: Qwen/Qwen2.5-0.5B-Instruct
    parameters:
      weight: -0.25
merge_method: linear
dtype: float16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-Coder-0.5B-Instruct
    parameters:
      weight: 1.0
  - model: Qwen/Qwen2.5-0.5B-Instruct
    parameters:
      weight: -0.25
merge_method: linear
dtype: float16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-Coder-0.5B-Instruct
    parameters:
      weight: 1.0
  - model: Qwen/Qwen2.5-0.5B-Instruct
    parameters:
      weight: -0.25
merge_method: linear
dtype: float16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-Coder-0.5B-Instruct
    parameters:
      weight: 1.0
  - model: Qwen/Qwen2.5-0.5B-Instruct
    parameters:
      weight: -0.25
merge_method: linear
dtype: float16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-Coder-0.5B-Instruct
    parameters:
      weight: 1.0
  - model: Qwen/Qwen2.5-0.5B-Instruct
    parameters:
      weight: -0.25
merge_method: linear
dtype: float16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-Coder-0.5B-Instruct
    parameters:
      weight: 1.0
  - model: Qwen/Qwen2.5-0.5B-Instruct
    parameters:
      weight: -0.25
merge_method: linear
dtype: float16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-Coder-0.5B-Instruct
    parameters:
      weight: 1.0
  - model: Qwen/Qwen2.5-0.5B-Instruct
    parameters:
      weight: -0.25
merge_method: linear
dtype: float16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-Coder-0.5B-Instruct
    parameters:
      weight: 1.0
  - model: Qwen/Qwen2.5-0.5B-Instruct
    parameters:
      weight: -0.25
merge_method: linear
dtype: float16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-Coder-0.5B-Instruct
    parameters:
      weight: 1.0
  - model: Qwen/Qwen2.5-0.5B-Instruct
    parameters:
      weight: -0.25
merge_method: linear
dtype: float16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-Coder-0.5B-Instruct
    parameters:
      weight: 1.0
  - model: Qwen/Qwen2.5-0.5B-Instruct
    parameters:
      weight: -0.25
merge_method: linear
dtype: float16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-Coder-0.5B-Instruct
    parameters:
      weight: 1.0
  - model: Qwen/Qwen2.5-0.5B-Instruct
    parameters:
      weight: -0.25
merge_method: linear
dtype: float16

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