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: mlx
tags: - code
- codeqwen
- chat
- qwen
- qwen-coder
- abliterated
- uncensored
- mlx
JaQuan2k6/Qwen2.5-Coder-32B-Instruct-abliterated-8bit
This model JaQuan2k6/Qwen2.5-Coder-32B-Instruct-abliterated-8bit was
converted to MLX format from huihui-ai/Qwen2.5-Coder-32B-Instruct-abliterated
using mlx-lm version 0.30.7.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("JaQuan2k6/Qwen2.5-Coder-32B-Instruct-abliterated-8bit")
prompt = "hello"
if tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, add_generation_prompt=True, return_dict=False,
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)