Instructions to use shunmoridev/Qwen3.8-27B-TwinTurbo-Residual-Bonsai-2-PQ2_0-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 shunmoridev/Qwen3.8-27B-TwinTurbo-Residual-Bonsai-2-PQ2_0-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 shunmoridev/Qwen3.8-27B-TwinTurbo-Residual-Bonsai-2-PQ2_0-GGUF:Q2_0
# Run inference directly in the terminal:
llama cli -hf shunmoridev/Qwen3.8-27B-TwinTurbo-Residual-Bonsai-2-PQ2_0-GGUF:Q2_0

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf shunmoridev/Qwen3.8-27B-TwinTurbo-Residual-Bonsai-2-PQ2_0-GGUF:Q2_0
# Run inference directly in the terminal:
llama cli -hf shunmoridev/Qwen3.8-27B-TwinTurbo-Residual-Bonsai-2-PQ2_0-GGUF:Q2_0

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 shunmoridev/Qwen3.8-27B-TwinTurbo-Residual-Bonsai-2-PQ2_0-GGUF:Q2_0
# Run inference directly in the terminal:
./llama-cli -hf shunmoridev/Qwen3.8-27B-TwinTurbo-Residual-Bonsai-2-PQ2_0-GGUF:Q2_0

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 shunmoridev/Qwen3.8-27B-TwinTurbo-Residual-Bonsai-2-PQ2_0-GGUF:Q2_0
# Run inference directly in the terminal:
./build/bin/llama-cli -hf shunmoridev/Qwen3.8-27B-TwinTurbo-Residual-Bonsai-2-PQ2_0-GGUF:Q2_0

Use Docker

docker model run hf.co/shunmoridev/Qwen3.8-27B-TwinTurbo-Residual-Bonsai-2-PQ2_0-GGUF:Q2_0

LM Studio
Jan

vLLM

How to use shunmoridev/Qwen3.8-27B-TwinTurbo-Residual-Bonsai-2-PQ2_0-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "shunmoridev/Qwen3.8-27B-TwinTurbo-Residual-Bonsai-2-PQ2_0-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": "shunmoridev/Qwen3.8-27B-TwinTurbo-Residual-Bonsai-2-PQ2_0-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/shunmoridev/Qwen3.8-27B-TwinTurbo-Residual-Bonsai-2-PQ2_0-GGUF:Q2_0

Ollama
How to use shunmoridev/Qwen3.8-27B-TwinTurbo-Residual-Bonsai-2-PQ2_0-GGUF with Ollama:
```
ollama run hf.co/shunmoridev/Qwen3.8-27B-TwinTurbo-Residual-Bonsai-2-PQ2_0-GGUF:Q2_0
```
Unsloth Desktop

How to use shunmoridev/Qwen3.8-27B-TwinTurbo-Residual-Bonsai-2-PQ2_0-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf shunmoridev/Qwen3.8-27B-TwinTurbo-Residual-Bonsai-2-PQ2_0-GGUF:Q2_0

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": "shunmoridev/Qwen3.8-27B-TwinTurbo-Residual-Bonsai-2-PQ2_0-GGUF:Q2_0"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use shunmoridev/Qwen3.8-27B-TwinTurbo-Residual-Bonsai-2-PQ2_0-GGUF with Docker Model Runner:
```
docker model run hf.co/shunmoridev/Qwen3.8-27B-TwinTurbo-Residual-Bonsai-2-PQ2_0-GGUF:Q2_0
```

Lemonade

How to use shunmoridev/Qwen3.8-27B-TwinTurbo-Residual-Bonsai-2-PQ2_0-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull shunmoridev/Qwen3.8-27B-TwinTurbo-Residual-Bonsai-2-PQ2_0-GGUF:Q2_0

Run and chat with the model

lemonade run user.Qwen3.8-27B-TwinTurbo-Residual-Bonsai-2-PQ2_0-GGUF-Q2_0

List all available models

lemonade list

Hermes Agent

How to use shunmoridev/Qwen3.8-27B-TwinTurbo-Residual-Bonsai-2-PQ2_0-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 shunmoridev/Qwen3.8-27B-TwinTurbo-Residual-Bonsai-2-PQ2_0-GGUF:Q2_0

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 shunmoridev/Qwen3.8-27B-TwinTurbo-Residual-Bonsai-2-PQ2_0-GGUF:Q2_0

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use shunmoridev/Qwen3.8-27B-TwinTurbo-Residual-Bonsai-2-PQ2_0-GGUF with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf shunmoridev/Qwen3.8-27B-TwinTurbo-Residual-Bonsai-2-PQ2_0-GGUF:Q2_0

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 "shunmoridev/Qwen3.8-27B-TwinTurbo-Residual-Bonsai-2-PQ2_0-GGUF:Q2_0" \
  --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"

shunmoridev commited on 4 days ago

Commit

19c22d6

verified ·

1 Parent(s): 01b32c6

README: state the goal and what is not known up front

Browse files

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README.md +3 -0

README.md CHANGED Viewed

@@ -28,6 +28,9 @@ tags:
 > [!WARNING]
 > **Treat this model as uncensored.** The transferred weights come from a Heretic / Uncensored donor model, whose safety alignment was deliberately reduced. Do not assume this model refuses harmful requests, and do not use it where a safety-aligned model is expected. Its refusal rate has not been measured, so it may be more or less compliant than the donor, but it should not be relied on as safe.
 Experimental **ternary residual transplant** from [DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-ULTRA-HERETIC-Uncensored](https://huggingface.co/DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-ULTRA-HERETIC-Uncensored) ("TWIN-TURBO" below; a Heretic / Uncensored model) into the Prism ML Bonsai 2 27B ternary host.
 DavidAU publishes many similarly named models. This work uses exactly the repository and revision listed under [Sources](#sources).

 > [!WARNING]
 > **Treat this model as uncensored.** The transferred weights come from a Heretic / Uncensored donor model, whose safety alignment was deliberately reduced. Do not assume this model refuses harmful requests, and do not use it where a safety-aligned model is expected. Its refusal rate has not been measured, so it may be more or less compliant than the donor, but it should not be relied on as safe.
+> [!NOTE]
+> **What this release is for.** The goal of this experiment is to move Bonsai 2 *toward the donor model*, and it is measured only by that yardstick: distance to TWIN-TURBO (KL divergence), plus small sanity probes. It has **not** been compared on standard benchmarks or refusal tests against the official Bonsai 2 or other Bonsai 2 derivatives (e.g. abliterated / uncensored builds). Whether it is better than any of them for a given use is unknown. It is closer to TWIN-TURBO than the official model, but it is still far from a reproduction of TWIN-TURBO (see [Evaluation](#evaluation)).
 Experimental **ternary residual transplant** from [DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-ULTRA-HERETIC-Uncensored](https://huggingface.co/DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-ULTRA-HERETIC-Uncensored) ("TWIN-TURBO" below; a Heretic / Uncensored model) into the Prism ML Bonsai 2 27B ternary host.
 DavidAU publishes many similarly named models. This work uses exactly the repository and revision listed under [Sources](#sources).