language: | |
- en | |
pipeline_tag: text-generation | |
library_name: transformers | |
license: other | |
license_name: tencent-license | |
license_link: https://huggingface.co/tencent/Hunyuan-7B-Instruct/blob/main/LICENSE.txt | |
tags: | |
- mlx | |
base_model: tencent/Hunyuan-7B-Instruct | |
# mlx-community/Hunyuan-7B-Instruct-fp16 | |
The Model [mlx-community/Hunyuan-7B-Instruct-fp16](https://huggingface.co/mlx-community/Hunyuan-7B-Instruct-fp16) was | |
converted to MLX format from [tencent/Hunyuan-7B-Instruct](https://huggingface.co/tencent/Hunyuan-7B-Instruct) | |
using mlx-lm version **0.21.0**. | |
## Use with mlx | |
```bash | |
pip install mlx-lm | |
``` | |
```python | |
from mlx_lm import load, generate | |
model, tokenizer = load("mlx-community/Hunyuan-7B-Instruct-fp16") | |
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) | |
``` | |