---
license: apache-2.0
library_name: transformers
tags:
- code
- granite
- 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: true
model-index:
- name: granite-34b-code-base
  results:
  - task:
      type: text-generation
    dataset:
      name: MBPP
      type: mbpp
    metrics:
    - type: pass@1
      value: 47.2
      name: pass@1
  - task:
      type: text-generation
    dataset:
      name: MBPP+
      type: evalplus/mbppplus
    metrics:
    - type: pass@1
      value: 53.1
      name: pass@1
  - task:
      type: text-generation
    dataset:
      name: HumanEvalSynthesis(Python)
      type: bigcode/humanevalpack
    metrics:
    - type: pass@1
      value: 48.2
      name: pass@1
    - type: pass@1
      value: 54.9
      name: pass@1
    - type: pass@1
      value: 61.6
      name: pass@1
    - type: pass@1
      value: 40.2
      name: pass@1
    - type: pass@1
      value: 50.0
      name: pass@1
    - type: pass@1
      value: 39.6
      name: pass@1
    - type: pass@1
      value: 42.7
      name: pass@1
    - type: pass@1
      value: 26.2
      name: pass@1
    - type: pass@1
      value: 47.0
      name: pass@1
    - type: pass@1
      value: 26.8
      name: pass@1
    - type: pass@1
      value: 36.6
      name: pass@1
    - type: pass@1
      value: 25.0
      name: pass@1
    - type: pass@1
      value: 20.1
      name: pass@1
    - type: pass@1
      value: 30.5
      name: pass@1
    - type: pass@1
      value: 40.9
      name: pass@1
    - type: pass@1
      value: 34.1
      name: pass@1
    - type: pass@1
      value: 39.0
      name: pass@1
    - type: pass@1
      value: 12.2
      name: pass@1
---

# mlx-community/granite-34b-code-base-4bit

The Model [mlx-community/granite-34b-code-base-4bit](https://huggingface.co./mlx-community/granite-34b-code-base-4bit) was converted to MLX format from [ibm-granite/granite-34b-code-base](https://huggingface.co./ibm-granite/granite-34b-code-base) using mlx-lm version **0.13.0**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("mlx-community/granite-34b-code-base-4bit")
response = generate(model, tokenizer, prompt="hello", verbose=True)
```