Instructions to use jwest33/qwen3.5-4b-gabliterated-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use jwest33/qwen3.5-4b-gabliterated-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="jwest33/qwen3.5-4b-gabliterated-GGUF",
	filename="Qwen3.5-4B-gabliterated-f16.gguf",
)

llm.create_chat_completion(
	messages = "No input example has been defined for this model task."
)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use jwest33/qwen3.5-4b-gabliterated-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf jwest33/qwen3.5-4b-gabliterated-GGUF:F16
# Run inference directly in the terminal:
llama-cli -hf jwest33/qwen3.5-4b-gabliterated-GGUF:F16

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf jwest33/qwen3.5-4b-gabliterated-GGUF:F16
# Run inference directly in the terminal:
llama-cli -hf jwest33/qwen3.5-4b-gabliterated-GGUF:F16

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 jwest33/qwen3.5-4b-gabliterated-GGUF:F16
# Run inference directly in the terminal:
./llama-cli -hf jwest33/qwen3.5-4b-gabliterated-GGUF:F16

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 jwest33/qwen3.5-4b-gabliterated-GGUF:F16
# Run inference directly in the terminal:
./build/bin/llama-cli -hf jwest33/qwen3.5-4b-gabliterated-GGUF:F16

Use Docker

docker model run hf.co/jwest33/qwen3.5-4b-gabliterated-GGUF:F16

LM Studio
Jan
Ollama
How to use jwest33/qwen3.5-4b-gabliterated-GGUF with Ollama:
```
ollama run hf.co/jwest33/qwen3.5-4b-gabliterated-GGUF:F16
```

Unsloth Studio

How to use jwest33/qwen3.5-4b-gabliterated-GGUF with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for jwest33/qwen3.5-4b-gabliterated-GGUF to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for jwest33/qwen3.5-4b-gabliterated-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for jwest33/qwen3.5-4b-gabliterated-GGUF to start chatting

How to use jwest33/qwen3.5-4b-gabliterated-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf jwest33/qwen3.5-4b-gabliterated-GGUF:F16

Configure the model in Pi

# Install Pi:
npm install -g @mariozechner/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "jwest33/qwen3.5-4b-gabliterated-GGUF:F16"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use jwest33/qwen3.5-4b-gabliterated-GGUF with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf jwest33/qwen3.5-4b-gabliterated-GGUF:F16

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 jwest33/qwen3.5-4b-gabliterated-GGUF:F16

Run Hermes

hermes

Docker Model Runner
How to use jwest33/qwen3.5-4b-gabliterated-GGUF with Docker Model Runner:
```
docker model run hf.co/jwest33/qwen3.5-4b-gabliterated-GGUF:F16
```

Lemonade

How to use jwest33/qwen3.5-4b-gabliterated-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull jwest33/qwen3.5-4b-gabliterated-GGUF:F16

Run and chat with the model

lemonade run user.qwen3.5-4b-gabliterated-GGUF-F16

List all available models

lemonade list

qwen3.5-4b-gabliterated-GGUF / abliteration_config.json

jwest33

Upload folder using huggingface_hub

f861e33 verified 3 months ago

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	{
	"model_path": "D:\\models\\Qwen3.5-4B",
	"use_mean_direction": true,
	"normalize_directions": true,
	"norm_preservation": true,
	"direction_multiplier": 1.05,
	"token_position": "last",
	"dtype": "float32",
	"device": "cuda",
	"batch_size": 4,
	"max_new_tokens": 1,
	"save_directions": true,
	"load_directions_path": null,
	"num_harmful_prompts": 2000,
	"num_harmless_prompts": 1226,
	"use_winsorization": true,
	"winsorize_percentile": 0.995,
	"use_welford_mean": true,
	"use_float64_subtraction": true,
	"use_projected_refusal": true,
	"hybrid_strategy": "auto",
	"hybrid_full_attn_weight": 1.0,
	"hybrid_linear_attn_weight": 0.4,
	"hybrid_skip_recurrent_proj": true,
	"hybrid_skip_state_proj": false,
	"use_gabliteration": true,
	"gab_num_directions": 2,
	"gab_ridge_lambda": 0.15,
	"gab_layer_scaling_beta": 0.5,
	"gab_skip_first_layers": 2,
	"gab_skip_last_layers": 2
	}