---
title: CodeLlama-13b-Instruct-hf-4bit-MLX
canonical_url: "https://www.modelscope.cn/models/mlx-community/CodeLlama-13b-Instruct-hf-4bit-MLX"
md_url: "https://www.modelscope.cn/models/mlx-community/CodeLlama-13b-Instruct-hf-4bit-MLX.md"
repository: mlx-community/CodeLlama-13b-Instruct-hf-4bit-MLX
last_updated: 2024-12-19
license: llama2
pipeline_tag: text-generation
tasks:
  - text-generation
model_type:
  - llama
architectures:
  - LlamaForCausalLM
parameters: 2.3B
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: 1029
stars: 0
tags:
  - llama-2
  - mlx
---

# CodeLlama-13b-Instruct-hf-4bit-MLX

> CodeLlama-13b-Instruct-hf-4bit-MLX - mlx-community 在 ModelScope 开源的模型。mlx-community/CodeLlama-13b-Instruct-hf-4bit-MLX This model was converted to MLX format from codellama/CodeLlama-13b-Instruct-hf. Refer to the original model card for more details on the…

mlx-community/CodeLlama-13b-Instruct-hf-4bit-MLX 是 ModelScope 魔搭社区上的 2.3B 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-13b-Instruct-hf-4bit-MLX
- **License**: llama2
- **Tasks**: text-generation
- **Parameters**: 2.3B
- **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**: 1029
- **Stars**: 0
- **Last updated**: 2024-12-19

Source: https://www.modelscope.cn/models/mlx-community/CodeLlama-13b-Instruct-hf-4bit-MLX

---

![Alt text](https://media.discordapp.net/attachments/989904887330521099/1201717650791858257/Llama_Coding_on_MacBook.png?ex=65cad5c6&is=65b860c6&hm=bb5bbaf0d097d44b054e0da8aae074203744078a7e2355c6724a2f7e68be9cb5&=&format=webp&quality=lossless&width=1840&height=1840)

# mlx-community/CodeLlama-13b-Instruct-hf-4bit-MLX
This model was converted to MLX format from [`codellama/CodeLlama-13b-Instruct-hf`]().
Refer to the [original model card](https://huggingface.co/codellama/CodeLlama-13b-Instruct-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-13b-Instruct-hf-4bit-MLX")
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)
```