language: en
pipeline_tag: text-generation
tags:
- mlx
library_name: mlx
Jcoa/Qwen3.5-122B-A10B-Abliterated-MLX-mixed3_6
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("Jcoa/Qwen3.5-122B-A10B-Abliterated-MLX-mixed3_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, return_dict=False,
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)