README.md

metadata

license: apache-2.0
license_link: >-
  https://huggingface.co/huihui-ai/Qwen2.5-Coder-32B-Instruct-abliterate/blob/main/LICENSE
language:
  - en
base_model: huihui-ai/Qwen2.5-Coder-32B-Instruct-abliterated
pipeline_tag: text-generation
library_name: transformers
tags:
  - code
  - codeqwen
  - chat
  - qwen
  - qwen-coder
  - abliterated
  - uncensored
  - mlx
  - mlx-my-repo

mlx-community/Qwen2.5-Coder-32B-Instruct-abliterated-4bit

The Model mlx-community/Qwen2.5-Coder-32B-Instruct-abliterated-4bit was converted to MLX format from huihui-ai/Qwen2.5-Coder-32B-Instruct-abliterated using mlx-lm version 0.20.5.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("mlx-community/Qwen2.5-Coder-32B-Instruct-abliterated-4bit")

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)