README.md

metadata

license: apache-2.0
license_link: https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct/blob/main/LICENSE
language:
  - en
pipeline_tag: text-generation
base_model: Qwen/Qwen2.5-0.5B-Instruct
tags:
  - chat
  - mlx
library_name: transformers

asjoberg/Qwen2.5-0.5B-Instruct-predli

The Model asjoberg/Qwen2.5-0.5B-Instruct-predli was converted to MLX format from Qwen/Qwen2.5-0.5B-Instruct using mlx-lm version 0.21.1.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("asjoberg/Qwen2.5-0.5B-Instruct-predli")

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)