---
license: bigcode-openrail-m
library_name: transformers
tags:
- code
- mlx
datasets:
- bigcode/the-stack-v2-train
pipeline_tag: text-generation
inference: true
widget:
- text: 'def print_hello_world():'
  example_title: Hello world
  group: Python
model-index:
- name: starcoder2-3b
  results:
  - task:
      type: text-generation
    dataset:
      name: CruxEval-I
      type: cruxeval-i
    metrics:
    - type: pass@1
      value: 32.7
  - task:
      type: text-generation
    dataset:
      name: DS-1000
      type: ds-1000
    metrics:
    - type: pass@1
      value: 25.0
  - task:
      type: text-generation
    dataset:
      name: GSM8K (PAL)
      type: gsm8k-pal
    metrics:
    - type: accuracy
      value: 27.7
  - task:
      type: text-generation
    dataset:
      name: HumanEval+
      type: humanevalplus
    metrics:
    - type: pass@1
      value: 27.4
  - task:
      type: text-generation
    dataset:
      name: HumanEval
      type: humaneval
    metrics:
    - type: pass@1
      value: 31.7
  - task:
      type: text-generation
    dataset:
      name: RepoBench-v1.1
      type: repobench-v1.1
    metrics:
    - type: edit-smiliarity
      value: 71.19
---

# mlx-community/starcoder2-3b-4bit
This model was converted to MLX format from [`bigcode/starcoder2-3b`]().
Refer to the [original model card](https://huggingface.co/bigcode/starcoder2-3b) 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/starcoder2-3b-4bit")
response = generate(model, tokenizer, prompt="hello", verbose=True)
```