license: apache-2.0
language:
- en
library_name: transformers
pipeline_tag: text-generation
base_model: huihui-ai/Huihui-Qwen3.6-35B-A3B-Claude-4.7-Opus-abliterated
tags: - text-generation
- reasoning
- distillation
- chain-of-thought
- qwen
- qwen3.6
- mixture-of-experts
- moe
- lora
- unsloth
- abliterated
- uncensored
- mlx
- mlx-my-repo
keXjos/Huihui-Qwen3.6-35B-A3B-Claude-4.7-Opus-abliterated-mlx-6Bit
The Model keXjos/Huihui-Qwen3.6-35B-A3B-Claude-4.7-Opus-abliterated-mlx-6Bit was converted to MLX format from huihui-ai/Huihui-Qwen3.6-35B-A3B-Claude-4.7-Opus-abliterated using mlx-lm version 0.31.2.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("keXjos/Huihui-Qwen3.6-35B-A3B-Claude-4.7-Opus-abliterated-mlx-6Bit")
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)