---
title: CodeLlama-7b-Python-4bit-MLX
canonical_url: "https://www.modelscope.cn/models/mlx-community/CodeLlama-7b-Python-4bit-MLX"
md_url: "https://www.modelscope.cn/models/mlx-community/CodeLlama-7b-Python-4bit-MLX.md"
repository: mlx-community/CodeLlama-7b-Python-4bit-MLX
last_updated: 2024-12-19
license: llama2
pipeline_tag: text-generation
tasks:
  - text-generation
model_type:
  - llama
architectures:
  - LlamaForCausalLM
parameters: 1.2B
tensor_type:
  - U32
  - F16
library_name:
  - mlx
  - safetensors
  - pytorch
frameworks:
  - pytorch
language:
  - code
inference_backends:
  - "deploy_task text/emb"
  - "lmdeploy 0.9.1"
  - "lmdeploy_turbomind 0.9.1"
  - "sglang 0.5.2"
  - "vllm 0.9.2"
downloads: 1040
stars: 0
tags:
  - llama-2
  - mlx
---

# CodeLlama-7b-Python-4bit-MLX

> CodeLlama-7b-Python-4bit-MLX - mlx-community 在 ModelScope 开源的模型。mlx-community/CodeLlama-7b-Python-4bit This model was converted to MLX format from codellama/CodeLlama-7b-Python-hf. Refer to the original model card for more details on the model. Use with mlx

mlx-community/CodeLlama-7b-Python-4bit-MLX 是 ModelScope 魔搭社区上的 1.2B 参数text-generation模型，采用 llama2 许可，可用 deploy_task text/emb、lmdeploy 0.9.1、lmdeploy_turbomind 0.9.1 部署。

- **Repository**: mlx-community/CodeLlama-7b-Python-4bit-MLX
- **License**: llama2
- **Tasks**: text-generation
- **Parameters**: 1.2B
- **Inference backends**: deploy_task text/emb, lmdeploy 0.9.1, lmdeploy_turbomind 0.9.1, sglang 0.5.2, vllm 0.9.2
- **Tags**: llama-2, mlx
- **Downloads**: 1040
- **Stars**: 0
- **Last updated**: 2024-12-19

Source: https://www.modelscope.cn/models/mlx-community/CodeLlama-7b-Python-4bit-MLX

---

![Alt text](https://media.discordapp.net/attachments/989904887330521099/1201650012472475708/DALLE_Llama_Illustration_1.png?ex=65ca96c8&is=65b821c8&hm=21335fced5743b909e04e04d80926a03477f767c799ab0de66cba075cf40df10&=&format=webp&quality=lossless&width=1840&height=1840)

# mlx-community/CodeLlama-7b-Python-4bit
This model was converted to MLX format from [`codellama/CodeLlama-7b-Python-hf`]().
Refer to the [original model card](https://huggingface.co/codellama/CodeLlama-7b-Python-hf) 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/CodeLlama-7b-Python-4bit")
response = generate(model, tokenizer, prompt="<s>[INST] <<SYS>> You are a helpful, respectful, and honest assistant. Always do... If you are unsure about an answer, truthfully say \"I don't know\" <</SYS>> What's the meaning of life [/INST]", verbose=True)
```