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---
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)
```
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