Text Generation
GGUF
darwin
darwin-v8
opus-distilled
qwen3.5
reasoning
korean
claude-opus
lora-merged
uncensored
decensored
abliterated
heretic
conversational
Instructions to use fattis/Darwin-2B-Opus-heretic-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use fattis/Darwin-2B-Opus-heretic-GGUF with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="fattis/Darwin-2B-Opus-heretic-GGUF", filename="Darwin-2B-Opus-heretic-Q8_0.gguf", )
llm.create_chat_completion( messages = [ { "role": "user", "content": "What is the capital of France?" } ] ) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- llama.cpp
How to use fattis/Darwin-2B-Opus-heretic-GGUF with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf fattis/Darwin-2B-Opus-heretic-GGUF:Q8_0 # Run inference directly in the terminal: llama-cli -hf fattis/Darwin-2B-Opus-heretic-GGUF:Q8_0
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf fattis/Darwin-2B-Opus-heretic-GGUF:Q8_0 # Run inference directly in the terminal: llama-cli -hf fattis/Darwin-2B-Opus-heretic-GGUF:Q8_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 fattis/Darwin-2B-Opus-heretic-GGUF:Q8_0 # Run inference directly in the terminal: ./llama-cli -hf fattis/Darwin-2B-Opus-heretic-GGUF:Q8_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 fattis/Darwin-2B-Opus-heretic-GGUF:Q8_0 # Run inference directly in the terminal: ./build/bin/llama-cli -hf fattis/Darwin-2B-Opus-heretic-GGUF:Q8_0
Use Docker
docker model run hf.co/fattis/Darwin-2B-Opus-heretic-GGUF:Q8_0
- LM Studio
- Jan
- vLLM
How to use fattis/Darwin-2B-Opus-heretic-GGUF with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "fattis/Darwin-2B-Opus-heretic-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": "fattis/Darwin-2B-Opus-heretic-GGUF", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/fattis/Darwin-2B-Opus-heretic-GGUF:Q8_0
- Ollama
How to use fattis/Darwin-2B-Opus-heretic-GGUF with Ollama:
ollama run hf.co/fattis/Darwin-2B-Opus-heretic-GGUF:Q8_0
- Unsloth Studio new
How to use fattis/Darwin-2B-Opus-heretic-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 fattis/Darwin-2B-Opus-heretic-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 fattis/Darwin-2B-Opus-heretic-GGUF to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for fattis/Darwin-2B-Opus-heretic-GGUF to start chatting
- Pi new
How to use fattis/Darwin-2B-Opus-heretic-GGUF with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama-server -hf fattis/Darwin-2B-Opus-heretic-GGUF:Q8_0
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": "fattis/Darwin-2B-Opus-heretic-GGUF:Q8_0" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use fattis/Darwin-2B-Opus-heretic-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 fattis/Darwin-2B-Opus-heretic-GGUF:Q8_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 fattis/Darwin-2B-Opus-heretic-GGUF:Q8_0
Run Hermes
hermes
- Docker Model Runner
How to use fattis/Darwin-2B-Opus-heretic-GGUF with Docker Model Runner:
docker model run hf.co/fattis/Darwin-2B-Opus-heretic-GGUF:Q8_0
- Lemonade
How to use fattis/Darwin-2B-Opus-heretic-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull fattis/Darwin-2B-Opus-heretic-GGUF:Q8_0
Run and chat with the model
lemonade run user.Darwin-2B-Opus-heretic-GGUF-Q8_0
List all available models
lemonade list
llm.create_chat_completion(
messages = [
{
"role": "user",
"content": "What is the capital of France?"
}
]
)- Parameters:
- start_layer_index = 1
- end_layer_index = 16
- preserve_good_behavior_weight = 0.8471
- steer_bad_behavior_weight = 0.0003
- overcorrect_relative_weight = 0.4130
- neighbor_count = 3
- KL divergence: 0.0702
🧠 Darwin-2B-Opus
Claude Opus 4.5/4.6 및 Sonnet 4.6의 추론 스타일을 주입한 Qwen3.5-2B 기반 모델.
🧬 Pedigree
- 👨 Father (Base):
Qwen/Qwen3.5-2B - 👩 Mother (LoRA Adapter):
FINAL-Bench/Darwin-2B-Opus-LoRA - 👶 Child (This model):
FINAL-Bench/Darwin-2B-Opus— merged full-weight standalone
- Downloads last month
- 567
Hardware compatibility
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Model tree for fattis/Darwin-2B-Opus-heretic-GGUF
Base model
Qwen/Qwen3.5-2B-Base Finetuned
Qwen/Qwen3.5-2B Finetuned
FINAL-Bench/Darwin-2B-Opus Finetuned
addansee2/Darwin-2B-Opus-heretic
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="fattis/Darwin-2B-Opus-heretic-GGUF", filename="", )