Qwopus3.6-27B-Coder-heretic

[!NOTE] All GGUF quants (Q3/Q4/Q5/Q6/Q8) are verified working in llama.cpp / Ollama. An earlier upload referenced an unused multi-token-prediction (MTP) layer and failed to load; this was a metadata-only issue and has been corrected on all files. The model weights and quality were never affected.

Qwopus3.6-27B-Coder-heretic

An abliterated (decensored) version of Jackrong/Qwopus3.6-27B-Coder, produced with Heretic v1.4.0 — fully automatic, optimization-based directional ablation. No retraining, no hand-tuning.

The base is an agentic coding / tool-use model built on the Qwen3.5 hybrid SSM-attention architecture. This version removes most refusal behavior while keeping capabilities essentially intact.

Abliteration results

Heretic ran 200 Optuna trials co-optimizing refusal suppression against KL divergence from the original model. The selected configuration (trial 67):

96% of refusals removed, with KL divergence ~40x below the 0.5 threshold that indicates meaningful capability damage. In practice the coding and reasoning behavior of the base model is preserved.

Files

Full-precision safetensors (BF16) plus a range of GGUF quantizations for llama.cpp / Ollama:

GGUF builds contain the text model only (the vision tower is not exported).

Usage

Ollama

ollama run hf.co/8sp4rk/Qwopus3.6-27B-Coder-heretic:Q4_K_M

llama.cpp

llama-server -m Qwopus3.6-27B-Coder-heretic-Q4_K_M.gguf -ngl 99 -c 32768 --host 0.0.0.0 --port 8080

transformers (full precision)

from transformers import AutoModelForCausalLM, AutoTokenizer
m = AutoModelForCausalLM.from_pretrained("8sp4rk/Qwopus3.6-27B-Coder-heretic", torch_dtype="bfloat16", device_map="auto")
t = AutoTokenizer.from_pretrained("8sp4rk/Qwopus3.6-27B-Coder-heretic")

Method

• Tool: Heretic v1.4.0 (directional ablation + TPE/Optuna parameter search)
• Good prompts: mlabonne/harmless_alpaca
• Bad prompts: mlabonne/harmful_behaviors
• Trials: 200
• Abliterated components: attn.o_proj, mlp.down_proj (per-layer)

Disclaimer

This model has had safety alignment removed and will respond to requests a standard model would refuse. It is provided for research and unrestricted local use. You are responsible for how you use it. Licensing follows the base model.

Reproducibility

Exact Heretic command:

heretic --model Jackrong/Qwopus3.6-27B-Coder --quantization NONE --export-strategy MERGE

Selected configuration (trial 67) parameters:

The full Optuna study (all 200 trials, parameters + objectives) is included as optuna_study.jsonl for inspection or resuming.

Full Pareto frontier

All Pareto-optimal trials found during the search (refusals vs. KL divergence). Lower-left is better; trial 67 was selected for maximum decensoring with negligible capability loss:

Hardware: abliteration ran in ~1h37m (200 trials) on a single NVIDIA H200 NVL (143 GB), BF16, batch size 128.