---
license: agpl-3.0
pipeline_tag: text-generation
tags:
- chemistry
- mlx
- mlx-my-repo
language:
- en
- zh
base-model:
- Qwen/Qwen2.5-14B
base_model: OpenDFM/ChemDFM-R-14B
---

# introvoyz041/ChemDFM-R-14B-mlx-4Bit

The Model [introvoyz041/ChemDFM-R-14B-mlx-4Bit](https://huggingface.co/introvoyz041/ChemDFM-R-14B-mlx-4Bit) was converted to MLX format from [OpenDFM/ChemDFM-R-14B](https://huggingface.co/OpenDFM/ChemDFM-R-14B) using mlx-lm version **0.28.3**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("introvoyz041/ChemDFM-R-14B-mlx-4Bit")

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)
```