---
license: other
license_name: deepseek-license
license_link: LICENSE
tags:
- mlx
pipeline_tag: text-generation
library_name: mlx
base_model: deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct
---

# mlx-community/deepseek-coder-v2-lite-instruct-4bit-awq

This model [mlx-community/deepseek-coder-v2-lite-instruct-4bit-awq](https://huggingface.co/mlx-community/deepseek-coder-v2-lite-instruct-4bit-awq) was
converted to MLX format from [deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct](https://huggingface.co/deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct)
using mlx-lm version **0.25.2**.

AWQ Parameters: --bits 4 --group-size 64 --embed-bits 4 --embed-group-size 32 --num-samples 128 --sequence-length 1024 --n-grid 50 with a customized calibration dataset

## Use with mlx

```bash
pip install mlx-lm
```

```python
from mlx_lm import load, generate

model, tokenizer = load("mlx-community/deepseek-coder-v2-lite-instruct-4bit-awq")

prompt = "hello"

if tokenizer.chat_template is not None:
    messages = [{"role": "user", "content": prompt}]
    prompt = tokenizer.apply_chat_template(
        messages, add_generation_prompt=True
    )

response = generate(model, tokenizer, prompt=prompt, verbose=True)
```