README.md

metadata

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 was converted to MLX format from tencent/Hunyuan-7B-Instruct using mlx-lm version 0.21.0.

Use with mlx

pip install mlx-lm

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)