Qwen2.5-Coder-0.5B-Merged

4
500M
Q8
—
by
vonjack
Language Model
OTHER
0.5B params
New
4 downloads
Early-stage
Try on Hugging FaceAdd to Compare
Edge AI:
Mobile
Laptop
Server
2GB+ RAM
Mobile
Laptop
Server
Quick Summary

This is a merge of pre-trained language models created using mergekit.

Device Compatibility

Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
1GB+ RAM

Code Examples

Configurationyaml
models:
  - model: Qwen/Qwen2.5-Coder-0.5B-Instruct
    parameters:
      weight: 1
merge_method: ties
base_model: Qwen/Qwen2.5-Coder-0.5B
parameters:
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-Coder-0.5B-Instruct
    parameters:
      weight: 1
merge_method: ties
base_model: Qwen/Qwen2.5-Coder-0.5B
parameters:
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-Coder-0.5B-Instruct
    parameters:
      weight: 1
merge_method: ties
base_model: Qwen/Qwen2.5-Coder-0.5B
parameters:
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-Coder-0.5B-Instruct
    parameters:
      weight: 1
merge_method: ties
base_model: Qwen/Qwen2.5-Coder-0.5B
parameters:
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-Coder-0.5B-Instruct
    parameters:
      weight: 1
merge_method: ties
base_model: Qwen/Qwen2.5-Coder-0.5B
parameters:
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-Coder-0.5B-Instruct
    parameters:
      weight: 1
merge_method: ties
base_model: Qwen/Qwen2.5-Coder-0.5B
parameters:
  normalize: true
  int8_mask: true
dtype: bfloat16
Configurationyaml
models:
  - model: Qwen/Qwen2.5-Coder-0.5B-Instruct
    parameters:
      weight: 1
merge_method: ties
base_model: Qwen/Qwen2.5-Coder-0.5B
parameters:
  normalize: true
  int8_mask: true
dtype: bfloat16

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