license: apache-2.0
language:

• en
  tags:
• trl
• sft
• abliterated
• uncensored
• mlx
  base_model: huihui-ai/Huihui-Jan-v1-4B-abliterated
  pipeline_tag: text-generation
  library_name: mlx

CallMcMargin/Huihui-Jan-v1-4B-abliterated-mlx-bf16-affine-qgroup32-q8

This model CallMcMargin/Huihui-Jan-v1-4B-abliterated-mlx-bf16-affine-qgroup32-q8 was
converted to MLX format from huihui-ai/Huihui-Jan-v1-4B-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/Huihui-Jan-v1-4B-abliterated-mlx-bf16-affine-qgroup32-q8")

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)