license: apache-2.0
base_model: Jiunsong/SuperQwen-AgentWorld-35B-A3B-abliterated
library_name: transformers
pipeline_tag: text-generation
tags:
- qwen
- qwen-agentworld
- world-model
- agent
- environment-simulation
- supertune
- abliterated
- false-refusal-reduction
- post-training
- mlx
- mlx-my-repo
language: - en
- ko
McG-221/SuperQwen-AgentWorld-35B-A3B-abliterated-mlx-8Bit
The Model McG-221/SuperQwen-AgentWorld-35B-A3B-abliterated-mlx-8Bit was converted to MLX format from Jiunsong/SuperQwen-AgentWorld-35B-A3B-abliterated using mlx-lm version 0.31.2.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("McG-221/SuperQwen-AgentWorld-35B-A3B-abliterated-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)