metadata

language:
  - en
license: other
tags:
  - chat
  - mlx
license_name: tongyi-qianwen-research
license_link: https://huggingface.co/Qwen/Qwen1.5-1.8B-Chat/blob/main/LICENSE
pipeline_tag: text-generation

mlx-community/Qwen1.5-1.8B-Chat-4bit

This model was converted to MLX format from Qwen/Qwen1.5-1.8B-Chat. Refer to the original model card for more details on the model.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("mlx-community/Qwen1.5-1.8B-Chat-4bit")

prompt = "hello"

messages = [
    {"role": "system", "content": "You are a helpful assistant."},
    {"role": "user", "content": prompt}
]

text = tokenizer.apply_chat_template(
    messages,
    tokenize=False,
    add_generation_prompt=True
)

response = generate(model, tokenizer, prompt=text, verbose=True, max_tokens=200)