---
license: apache-2.0
library_name: transformers
tags:
- code
- mlx
datasets:
- codeparrot/github-code-clean
- bigcode/starcoderdata
- open-web-math/open-web-math
- math-ai/StackMathQA
metrics:
- code_eval
pipeline_tag: text-generation
inference: false
model-index:
- name: granite-3b-code-base
  results:
  - task:
      type: text-generation
    dataset:
      name: MBPP
      type: mbpp
    metrics:
    - type: pass@1
      value: 36.0
      name: pass@1
  - task:
      type: text-generation
    dataset:
      name: MBPP+
      type: evalplus/mbppplus
    metrics:
    - type: pass@1
      value: 45.1
      name: pass@1
  - task:
      type: text-generation
    dataset:
      name: HumanEvalSynthesis(Python)
      type: bigcode/humanevalpack
    metrics:
    - type: pass@1
      value: 36.6
      name: pass@1
    - type: pass@1
      value: 37.2
      name: pass@1
    - type: pass@1
      value: 40.9
      name: pass@1
    - type: pass@1
      value: 26.2
      name: pass@1
    - type: pass@1
      value: 35.4
      name: pass@1
    - type: pass@1
      value: 22.0
      name: pass@1
    - type: pass@1
      value: 25.0
      name: pass@1
    - type: pass@1
      value: 18.9
      name: pass@1
    - type: pass@1
      value: 29.9
      name: pass@1
    - type: pass@1
      value: 17.1
      name: pass@1
    - type: pass@1
      value: 26.8
      name: pass@1
    - type: pass@1
      value: 14.0
      name: pass@1
    - type: pass@1
      value: 18.3
      name: pass@1
    - type: pass@1
      value: 23.2
      name: pass@1
    - type: pass@1
      value: 29.9
      name: pass@1
    - type: pass@1
      value: 24.4
      name: pass@1
    - type: pass@1
      value: 16.5
      name: pass@1
    - type: pass@1
      value: 3.7
      name: pass@1
---

# mlx-community/granite-3b-code-base-4bit

The Model [mlx-community/granite-3b-code-base-4bit](https://huggingface.co/mlx-community/granite-3b-code-base-4bit) was converted to MLX format from [ibm-granite/granite-3b-code-base](https://huggingface.co/ibm-granite/granite-3b-code-base) using mlx-lm version **0.12.0**.

## Use with mlx

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

```python
from mlx_lm import load, generate

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