Qwen3.8-27B Aragon Uncensored

Qwen3.8-27B adapted with Aragon Heretic using norm-preserving abliteration. Merged BF16 weights — no PEFT adapter required at inference time.

Quick Start (Transformers)

from transformers import AutoModelForCausalLM, AutoTokenizer
import torch

model_id = "grokandme/qwen3.8-27b-aragon-uncensored"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(
    model_id,
    torch_dtype=torch.bfloat16,
    device_map="auto"
)

messages = [{"role": "user", "content": "Hello, how are you?"}]
text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
inputs = tokenizer(text, return_tensors="pt").to(model.device)

outputs = model.generate(**inputs, max_new_tokens=256)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))

About this Space

This is a free Static Space. Interactive Gradio chat demos on ZeroGPU or CPU currently require a PRO subscription (or an account older than 30 days with ZeroGPU eligibility).