metadata
license: apache-2.0
license_link: https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct/blob/main/LICENSE
language:
- en
pipeline_tag: text-generation
base_model: Qwen/Qwen2.5-1.5B-Instruct
tags:
- chat
- mlx
library_name: transformers
theblueobserver/Qwen2.5-1.5B-Instruct-MLX-7dd7f
The Model theblueobserver/Qwen2.5-1.5B-Instruct-MLX-7dd7f was converted to MLX format from Qwen/Qwen2.5-1.5B-Instruct using mlx-lm version 0.20.2.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("theblueobserver/Qwen2.5-1.5B-Instruct-MLX-7dd7f")
prompt="hello"
if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, tokenize=False, add_generation_prompt=True
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)