license: apache-2.0
base_model: NovaSky-AI/SA-SWE-32B
tags:
- abliteration
- uncensored
- swe
- coding
- thinking
- reasoning
- qwen3
- 33b
language: - en
SA-SWE-32B — Abliterated
Abliterated version of NovaSky-AI/SA-SWE-32B.
Base: 33B dense Qwen3 model fine-tuned for software engineering (SWE-bench). Extended thinking (<think>...</think>). BF16.
Abliteration
Performed with heretic — Optuna multi-objective optimization.
- Trials: 50
- Best trial: Trial #27, KL = 0.0003, ~2.1% refusals
Note on Quality
SA-SWE-32B is specialized for software engineering. On general-knowledge domains (security, chemistry, etc.) it may produce confident-sounding but inaccurate responses — inherent to the base model's specialization, not an artifact of abliteration.
Usage
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained(
"nitrox/SA-SWE-32B-abliterated",
device_map="auto",
torch_dtype="bfloat16",
)
tokenizer = AutoTokenizer.from_pretrained("nitrox/SA-SWE-32B-abliterated")
messages = [{"role": "user", "content": "Your coding question here"}]
inputs = tokenizer.apply_chat_template(
messages, add_generation_prompt=True, return_tensors="pt"
).to(model.device)
outputs = model.generate(inputs, max_new_tokens=4096)
print(tokenizer.decode(outputs[0][len(inputs[0]):], skip_special_tokens=True))
Disclaimer
Refusal mechanisms have been removed. Use responsibly and in accordance with applicable laws.