---
language:
- en
license: other
library_name: transformers
tags:
- causal-lm
- code
- mlx
datasets:
- tiiuae/falcon-refinedweb
- bigcode/the-stack-github-issues
- bigcode/commitpackft
- bigcode/starcoderdata
- EleutherAI/proof-pile-2
- meta-math/MetaMathQA
metrics:
- code_eval
model-index:
- name: StarCoderBase-3B
  results:
  - task:
      type: text-generation
    dataset:
      name: MultiPL-HumanEval (Python)
      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-3b-4bit
This model was converted to MLX format from [`stabilityai/stable-code-3b`]().
Refer to the [original model card](https://huggingface.co/stabilityai/stable-code-3b) for more details on the model.
## Use with mlx

```bash
pip install mlx-lm
```

```python
from mlx_lm import load, generate

model, tokenizer = load("mlx-community/stable-code-3b-4bit")
response = generate(model, tokenizer, prompt="hello", verbose=True)
```