README.md

metadata

license: apache-2.0
license_link: https://huggingface.co/Qwen/Qwen2.5-14B-Instruct-1M/blob/main/LICENSE
language:
  - en
pipeline_tag: text-generation
base_model: Qwen/Qwen2.5-14B-Instruct-1M
tags:
  - chat
  - mlx
  - mlx-my-repo
library_name: transformers

LogicBombaklot/Qwen2.5-14B-Instruct-1M-mlx-8Bit

The Model LogicBombaklot/Qwen2.5-14B-Instruct-1M-mlx-8Bit was converted to MLX format from Qwen/Qwen2.5-14B-Instruct-1M using mlx-lm version 0.22.1.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("LogicBombaklot/Qwen2.5-14B-Instruct-1M-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)