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mlx-community
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granite-8b-code-base-4bit

Text Generation
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text-generation-inference
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1
granite-8b-code-base-4bit
File size: 2,331 Bytes 
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---
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-8b-code-base
  results:
  - task:
      type: text-generation
    dataset:
      name: MBPP
      type: mbpp
    metrics:
    - type: pass@1
      value: 42.2
      name: pass@1
  - task:
      type: text-generation
    dataset:
      name: MBPP+
      type: evalplus/mbppplus
    metrics:
    - type: pass@1
      value: 49.6
      name: pass@1
  - task:
      type: text-generation
    dataset:
      name: HumanEvalSynthesis(Python)
      type: bigcode/humanevalpack
    metrics:
    - type: pass@1
      value: 43.9
      name: pass@1
    - type: pass@1
      value: 52.4
      name: pass@1
    - type: pass@1
      value: 56.1
      name: pass@1
    - type: pass@1
      value: 31.7
      name: pass@1
    - type: pass@1
      value: 43.9
      name: pass@1
    - type: pass@1
      value: 32.9
      name: pass@1
    - type: pass@1
      value: 23.5
      name: pass@1
    - type: pass@1
      value: 32.3
      name: pass@1
    - type: pass@1
      value: 25.0
      name: pass@1
    - type: pass@1
      value: 23.2
      name: pass@1
    - type: pass@1
      value: 28.0
      name: pass@1
    - type: pass@1
      value: 19.5
      name: pass@1
    - type: pass@1
      value: 22.6
      name: pass@1
    - type: pass@1
      value: 35.4
      name: pass@1
    - type: pass@1
      value: 38.4
      name: pass@1
    - type: pass@1
      value: 37.2
      name: pass@1
    - type: pass@1
      value: 28.7
      name: pass@1
    - type: pass@1
      value: 15.2
      name: pass@1
---

# mlx-community/granite-8b-code-base-4bit

The Model [mlx-community/granite-8b-code-base-4bit](https://huggingface.co/mlx-community/granite-8b-code-base-4bit) was converted to MLX format from [ibm-granite/granite-8b-code-base](https://huggingface.co/ibm-granite/granite-8b-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-8b-code-base-4bit")
response = generate(model, tokenizer, prompt="hello", verbose=True)
```