|
--- |
|
language: |
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- en |
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license: other |
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library_name: transformers |
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tags: |
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- causal-lm |
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- code |
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- mlx |
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metrics: |
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- code_eval |
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model-index: |
|
- name: stabilityai/stable-code-instruct-3b |
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results: |
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- task: |
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type: text-generation |
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dataset: |
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name: MultiPL-HumanEval (Python) |
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type: nuprl/MultiPL-E |
|
metrics: |
|
- type: pass@1 |
|
value: 32.4 |
|
name: pass@1 |
|
verified: false |
|
- type: pass@1 |
|
value: 30.9 |
|
name: pass@1 |
|
verified: false |
|
- type: pass@1 |
|
value: 32.1 |
|
name: pass@1 |
|
verified: false |
|
- type: pass@1 |
|
value: 32.1 |
|
name: pass@1 |
|
verified: false |
|
- type: pass@1 |
|
value: 24.2 |
|
name: pass@1 |
|
verified: false |
|
- type: pass@1 |
|
value: 23.0 |
|
name: pass@1 |
|
verified: false |
|
--- |
|
|
|
# mlx-community/stable-code-instruct-3b-4bit |
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This model was converted to MLX format from [`stabilityai/stable-code-instruct-3b`]() using mlx-lm version **0.4.0**. |
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Refer to the [original model card](https://huggingface.co/stabilityai/stable-code-instruct-3b) for more details on the model. |
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## Use with mlx |
|
|
|
```bash |
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pip install mlx-lm |
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``` |
|
|
|
```python |
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from mlx_lm import load, generate |
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|
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model, tokenizer = load("mlx-community/stable-code-instruct-3b-4bit") |
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response = generate(model, tokenizer, prompt="hello", verbose=True) |
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``` |
|
|
