metadata
language: en
library_name: mlx
pipeline_tag: text-generation
tags:
- mlx
- hunyuan
- hy3
- moe
- text-generation
license: apache-2.0
base_model: tencent/Hy3
kernelpool/Hy3-8bit
This model kernelpool/Hy3-8bit was converted to MLX format from tencent/Hy3 using mlx-lm version 0.31.3.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("kernelpool/Hy3-8bit")
prompt = "hello"
if tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, add_generation_prompt=True, return_dict=False,
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)