library_name: transformers
license: apache-2.0
license_link: https://huggingface.co/Qwen/Qwen3.5-35B-A3B/blob/main/LICENSE
pipeline_tag: image-text-to-text
tags:
- heretic
- uncensored
- decensored
- abliterated
- mpoa
- mtp
- mlx
- mlx-my-repo
base_model: llmfan46/Qwen3.5-35B-A3B-uncensored-heretic-v2-Native-MTP-Preserved
Nestleshuffle/Qwen3.5-35B-A3B-uncensored-heretic-v2-Native-MTP-Preserved-mlx-8Bit
The Model Nestleshuffle/Qwen3.5-35B-A3B-uncensored-heretic-v2-Native-MTP-Preserved-mlx-8Bit was converted to MLX format from llmfan46/Qwen3.5-35B-A3B-uncensored-heretic-v2-Native-MTP-Preserved using mlx-lm version 0.31.2.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("Nestleshuffle/Qwen3.5-35B-A3B-uncensored-heretic-v2-Native-MTP-Preserved-mlx-8Bit")
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)