---
title: starcoder2-3b-4bit
canonical_url: "https://www.modelscope.cn/models/mlx-community/starcoder2-3b-4bit"
md_url: "https://www.modelscope.cn/models/mlx-community/starcoder2-3b-4bit.md"
repository: mlx-community/starcoder2-3b-4bit
last_updated: 2025-02-06
license: bigcode-openrail-m
pipeline_tag: text-generation
tasks:
  - text-generation
model_type:
  - starcoder2
architectures:
  - Starcoder2ForCausalLM
parameters: 601.8M
tensor_type:
  - U32
  - F16
library_name:
  - mlx
  - safetensors
  - pytorch
frameworks:
  - pytorch
inference_backends:
  - "deploy_task text/emb"
  - "lmdeploy 0.9.1"
  - "vllm 0.9.2"
downloads: 890
stars: 0
tags:
  - code
  - mlx
---

# starcoder2-3b-4bit

> starcoder2-3b-4bit - mlx-community 在 ModelScope 开源的模型。mlx-community/starcoder2-3b-4bit This model was converted to MLX format from bigcode/starcoder2-3b. Refer to the original model card for more details on the model. Use with mlx

mlx-community/starcoder2-3b-4bit 是 ModelScope 魔搭社区上的 601.8M 参数text-generation模型，采用 bigcode-openrail-m 许可，可用 deploy_task text/emb、lmdeploy 0.9.1、vllm 0.9.2 部署。

- **Repository**: mlx-community/starcoder2-3b-4bit
- **License**: bigcode-openrail-m
- **Tasks**: text-generation
- **Parameters**: 601.8M
- **Inference backends**: deploy_task text/emb, lmdeploy 0.9.1, vllm 0.9.2
- **Tags**: code, mlx
- **Downloads**: 890
- **Stars**: 0
- **Last updated**: 2025-02-06

Source: https://www.modelscope.cn/models/mlx-community/starcoder2-3b-4bit

---

# 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)
```