Instructions to use AtticusG3/Qwopus3.6-27B-Fusion-heretic-MTP-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use AtticusG3/Qwopus3.6-27B-Fusion-heretic-MTP-GGUF with llama.cpp:

Install (macOS, Linux)

curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf AtticusG3/Qwopus3.6-27B-Fusion-heretic-MTP-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf AtticusG3/Qwopus3.6-27B-Fusion-heretic-MTP-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf AtticusG3/Qwopus3.6-27B-Fusion-heretic-MTP-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf AtticusG3/Qwopus3.6-27B-Fusion-heretic-MTP-GGUF:Q4_K_M

Use pre-built binary

# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf AtticusG3/Qwopus3.6-27B-Fusion-heretic-MTP-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf AtticusG3/Qwopus3.6-27B-Fusion-heretic-MTP-GGUF:Q4_K_M

Build from source code

git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf AtticusG3/Qwopus3.6-27B-Fusion-heretic-MTP-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf AtticusG3/Qwopus3.6-27B-Fusion-heretic-MTP-GGUF:Q4_K_M

Use Docker

docker model run hf.co/AtticusG3/Qwopus3.6-27B-Fusion-heretic-MTP-GGUF:Q4_K_M

LM Studio
Jan

vLLM

How to use AtticusG3/Qwopus3.6-27B-Fusion-heretic-MTP-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "AtticusG3/Qwopus3.6-27B-Fusion-heretic-MTP-GGUF"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "AtticusG3/Qwopus3.6-27B-Fusion-heretic-MTP-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/AtticusG3/Qwopus3.6-27B-Fusion-heretic-MTP-GGUF:Q4_K_M

Ollama
How to use AtticusG3/Qwopus3.6-27B-Fusion-heretic-MTP-GGUF with Ollama:
```
ollama run hf.co/AtticusG3/Qwopus3.6-27B-Fusion-heretic-MTP-GGUF:Q4_K_M
```
Unsloth Desktop

How to use AtticusG3/Qwopus3.6-27B-Fusion-heretic-MTP-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf AtticusG3/Qwopus3.6-27B-Fusion-heretic-MTP-GGUF:Q4_K_M

Configure the model in Pi

# Install Pi:
npm install -g @earendil-works/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "AtticusG3/Qwopus3.6-27B-Fusion-heretic-MTP-GGUF:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use AtticusG3/Qwopus3.6-27B-Fusion-heretic-MTP-GGUF with Docker Model Runner:
```
docker model run hf.co/AtticusG3/Qwopus3.6-27B-Fusion-heretic-MTP-GGUF:Q4_K_M
```

Lemonade

How to use AtticusG3/Qwopus3.6-27B-Fusion-heretic-MTP-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull AtticusG3/Qwopus3.6-27B-Fusion-heretic-MTP-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.Qwopus3.6-27B-Fusion-heretic-MTP-GGUF-Q4_K_M

List all available models

lemonade list

Hermes Agent

How to use AtticusG3/Qwopus3.6-27B-Fusion-heretic-MTP-GGUF with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf AtticusG3/Qwopus3.6-27B-Fusion-heretic-MTP-GGUF:Q4_K_M

Configure Hermes

# Install Hermes:
curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
hermes setup
# Point Hermes at the local server:
hermes config set model.provider custom
hermes config set model.base_url http://127.0.0.1:8080/v1
hermes config set model.default AtticusG3/Qwopus3.6-27B-Fusion-heretic-MTP-GGUF:Q4_K_M

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use AtticusG3/Qwopus3.6-27B-Fusion-heretic-MTP-GGUF with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf AtticusG3/Qwopus3.6-27B-Fusion-heretic-MTP-GGUF:Q4_K_M

Configure OpenClaw

# Install OpenClaw:
npm install -g openclaw@latest
# Register the local server and set it as the default model:
openclaw onboard --non-interactive --mode local \
  --auth-choice custom-api-key \
  --custom-base-url http://127.0.0.1:8080/v1 \
  --custom-model-id "AtticusG3/Qwopus3.6-27B-Fusion-heretic-MTP-GGUF:Q4_K_M" \
  --custom-provider-id llama-cpp \
  --custom-compatibility openai \
  --custom-text-input \
  --accept-risk \
  --skip-health

Run OpenClaw

openclaw agent --local --agent main --message "Hello from Hugging Face"

Qwopus3.6-27B-Fusion-heretic-MTP-GGUF / README.md

AtticusG3

Update README.md

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	---
	license: other
	license_name: qwen
	license_link: https://huggingface.co/Qwen/Qwen3.6-27B/blob/main/LICENSE
	language:
	- en
	base_model:
	- KyleHessling1/Qwopus3.6-27B-Fusion-BF16
	pipeline_tag: text-generation
	library_name: gguf
	tags:
	- gguf
	- quantized
	- llama.cpp
	- qwen3
	- qwen35
	- code
	- reasoning
	- abliterated
	- heretic
	- uncensored
	- mtp
	- imatrix
	- merge
	quantized_by: AtticusG3
	---

	# Qwopus3.6-27B-Fusion-heretic-MTP (GGUF)

	Imatrix-guided GGUF quants of [KyleHessling1/Qwopus3.6-27B-Fusion-BF16](https://huggingface.co/KyleHessling1/Qwopus3.6-27B-Fusion-BF16) after [Heretic](https://github.com/p-e-w/heretic) abliteration, with MTP / NextN heads preserved.

	> Base model credit: Fusion is Kyle Hessling’s reasoning⊕coding merge of Qwen3.6-27B lineage. This repo only adds Heretic abliteration + GGUF packaging. See the [Fusion BF16 card](https://huggingface.co/KyleHessling1/Qwopus3.6-27B-Fusion-BF16) for merge method, benchmarks, and intended use.

	## Files

	\| File \| Quant \| Approx. size \| Notes \|
	\|------\|-------\|--------------\|-------\|
	\| `Qwopus3.6-27B-Fusion-heretic-MTP-F16.gguf` \| F16 \| ~51 GB \| Full-precision GGUF (conversion source) \|
	\| `Qwopus3.6-27B-Fusion-heretic-MTP-Q8_0.gguf` \| Q8_0 \| ~28 GB \| High-fidelity; also used as imatrix host \|
	\| `Qwopus3.6-27B-Fusion-heretic-MTP-Q5_K_M.gguf` \| Q5_K_M \| ~19 GB \| Imatrix-guided; strong quality/size \|
	\| `Qwopus3.6-27B-Fusion-heretic-MTP-Q4_K_M.gguf` \| Q4_K_M \| ~16 GB \| Imatrix-guided; good default on 24–32 GB GPUs \|

	Recommendation: start with Q4_K_M or Q5_K_M. Use Q8_0 / F16 if you are re-quantizing or measuring ceiling quality.

	## What changed vs Fusion BF16

	1. Heretic abliteration (v1.4.0) on the BF16 weights
	- 200 optimization trials
	- Scorers: `KeywordRate` + `KLDivergence`
	- Eval sets: `mlabonne/harmful_behaviors` + `mlabonne/harmless_alpaca`
	- Selected trial 77: refusal keywords 89 → 3 / 100, KL divergence 0.026
	- Across trials: KL mean ≈ 0.008, max ≈ 0.073 (no trial > 0.1)
	2. MTP / NextN preserved in the GGUF (`blk.64` / nextn tensors bundled). Heretic’s merge-save dropped MTP safetensors; those tensors were grafted back from Fusion BF16 before convert.
	3. Chat template: Fusion’s native template (not a Compat rewrite).
	4. Quantization: `llama.cpp` convert → Q8_0 → imatrix (WikiText-2 calib, 100×256 chunks) → Q4_K_M and Q5_K_M with `--imatrix`.

	> Abliteration reduces refusal behavior; it does not remove your responsibility for how you use the model. Follow applicable law and the Qwen license.

	## Quick start

	### llama.cpp

	```bash
	./llama-server \
	-m Qwopus3.6-27B-Fusion-heretic-MTP-Q4_K_M.gguf \
	-ngl 99 -c 32768 --jinja \
	--spec-type draft-mtp --spec-draft-n-max 4
	```

	### LM Studio / koboldcpp / etc.

	Import the `.gguf` of your choice. Prefer builds that understand Qwen3.6 / qwen35 and MTP speculative decoding if you want draft speedups.

	### OpenAI-compatible (example)

	Point any OpenAI-compatible client at a `llama-server` / llama-swap endpoint serving one of these files. Thinking mode follows the Fusion / Qwen3.6 chat template (`enable_thinking` / jinja).

	## Model details

	\| \| \|
	\|---\|---\|
	\| Parameters \| ~27B \|
	\| Architecture \| Qwen3.6 / qwen35 hybrid (linear + periodic full attention) \|
	\| Context \| Up to 262,144 native (practical limit = VRAM + KV cache) \|
	\| Vision \| Not included in these text GGUFs (BF16 Fusion retains vision tensors) \|
	\| MTP \| Included (NextN / draft head) \|
	\| License \| Qwen (see license link in YAML) \|

	## Provenance

	\| Step \| Source / tool \|
	\|------\|----------------\|
	\| Base \| [KyleHessling1/Qwopus3.6-27B-Fusion-BF16](https://huggingface.co/KyleHessling1/Qwopus3.6-27B-Fusion-BF16) \|
	\| Abliteration \| [Heretic](https://github.com/p-e-w/heretic) v1.4.0 \|
	\| Convert / quant / imatrix \| [llama.cpp](https://github.com/ggml-org/llama.cpp) \|
	\| Uploader \| [AtticusG3](https://huggingface.co/AtticusG3) \|

	## Limitations

	- Smoke-tested for generation on a small LiveCodeBench prompt sample after quant; not a full re-benchmark of Fusion’s published scores.
	- Some MTP (`blk.64`) tensors lacked imatrix entries and fell back to plain K-quants.
	- Uncensored / abliterated models can produce disallowed content more readily than the stock chat model — use with care.

	## Acknowledgements

	- Kyle Hessling — Fusion merge and BF16 release
	- Qwen team — Qwen3.6-27B
	- p-e-w / Heretic — abliteration tooling
	- llama.cpp contributors — GGUF convert, imatrix, quantize

	## Citation

	```bibtex
	@misc{qwopus36-fusion-heretic-mtp-gguf,
	title = {Qwopus3.6-27B-Fusion-heretic-MTP GGUF},
	author = {AtticusG3},
	year = {2026},
	howpublished = {\url{https://huggingface.co/AtticusG3/Qwopus3.6-27B-Fusion-heretic-MTP-GGUF}},
	note = {Heretic abliteration of KyleHessling1/Qwopus3.6-27B-Fusion-BF16; imatrix GGUF quants}
	}
	```