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metadata
license: apache-2.0
language:
  - en
  - zh
base_model: YOYO-AI/QwQ-Coder-instruct
pipeline_tag: text-generation
tags:
  - merge
  - mlx
  - mlx-my-repo

Fmuaddib/QwQ-Coder-instruct-mlx-8Bit

The Model Fmuaddib/QwQ-Coder-instruct-mlx-8Bit was converted to MLX format from YOYO-AI/QwQ-Coder-instruct using mlx-lm version 0.21.5.

Use with mlx

pip install mlx-lm
from mlx_lm import load, generate

model, tokenizer = load("Fmuaddib/QwQ-Coder-instruct-mlx-8Bit")

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)