license: apache-2.0
license_link: https://huggingface.co/huihui-ai/Qwen2.5-14B-Instruct-1M-abliterated/blob/main/LICENSE
language:
- en
pipeline_tag: text-generation
base_model: huihui-ai/Qwen2.5-14B-Instruct-1M-abliterated
tags: - chat
- abliterated
- uncensored
- mlx
library_name: mlx
CallMcMargin/Qwen2.5-14B-Instruct-1M-abliterated-mlx-bf16-mxfp4-qgroup32-mixed_3_6
This model CallMcMargin/Qwen2.5-14B-Instruct-1M-abliterated-mlx-bf16-mxfp4-qgroup32-mixed_3_6 was
converted to MLX format from huihui-ai/Qwen2.5-14B-Instruct-1M-abliterated
using mlx-lm version 0.28.3.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("CallMcMargin/Qwen2.5-14B-Instruct-1M-abliterated-mlx-bf16-mxfp4-qgroup32-mixed_3_6")
prompt = "hello"
if tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, add_generation_prompt=True
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)