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---
license: apache-2.0
language:
- en
base_model: janhq/Jan-code-4b
pipeline_tag: text-generation
library_name: transformers
tags:
- agent
- mlx
- mlx-my-repo
---
# Wwayu/Jan-code-4b-mlx-6Bit
The Model [Wwayu/Jan-code-4b-mlx-6Bit](https://huggingface.co/Wwayu/Jan-code-4b-mlx-6Bit) was converted to MLX format from [janhq/Jan-code-4b](https://huggingface.co/janhq/Jan-code-4b) using mlx-lm version **0.29.1**.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
model, tokenizer = load("Wwayu/Jan-code-4b-mlx-6Bit")
prompt="hello"
if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, tokenize=False, add_generation_prompt=True
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)
```