Instructions to use TheDrummer/Anubis-70B-v1-GGUF-BROKEN with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use TheDrummer/Anubis-70B-v1-GGUF-BROKEN 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 TheDrummer/Anubis-70B-v1-GGUF-BROKEN:Q4_K_M # Run inference directly in the terminal: llama cli -hf TheDrummer/Anubis-70B-v1-GGUF-BROKEN:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf TheDrummer/Anubis-70B-v1-GGUF-BROKEN:Q4_K_M # Run inference directly in the terminal: llama cli -hf TheDrummer/Anubis-70B-v1-GGUF-BROKEN: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 TheDrummer/Anubis-70B-v1-GGUF-BROKEN:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf TheDrummer/Anubis-70B-v1-GGUF-BROKEN: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 TheDrummer/Anubis-70B-v1-GGUF-BROKEN:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf TheDrummer/Anubis-70B-v1-GGUF-BROKEN:Q4_K_M
Use Docker
docker model run hf.co/TheDrummer/Anubis-70B-v1-GGUF-BROKEN:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use TheDrummer/Anubis-70B-v1-GGUF-BROKEN with Ollama:
ollama run hf.co/TheDrummer/Anubis-70B-v1-GGUF-BROKEN:Q4_K_M
- Unsloth Desktop
- Pi
How to use TheDrummer/Anubis-70B-v1-GGUF-BROKEN with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf TheDrummer/Anubis-70B-v1-GGUF-BROKEN: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": "TheDrummer/Anubis-70B-v1-GGUF-BROKEN:Q4_K_M" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use TheDrummer/Anubis-70B-v1-GGUF-BROKEN with Docker Model Runner:
docker model run hf.co/TheDrummer/Anubis-70B-v1-GGUF-BROKEN:Q4_K_M
- Lemonade
How to use TheDrummer/Anubis-70B-v1-GGUF-BROKEN with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull TheDrummer/Anubis-70B-v1-GGUF-BROKEN:Q4_K_M
Run and chat with the model
lemonade run user.Anubis-70B-v1-GGUF-BROKEN-Q4_K_M
List all available models
lemonade list
- Hermes Agent
How to use TheDrummer/Anubis-70B-v1-GGUF-BROKEN with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf TheDrummer/Anubis-70B-v1-GGUF-BROKEN: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 TheDrummer/Anubis-70B-v1-GGUF-BROKEN:Q4_K_M
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use TheDrummer/Anubis-70B-v1-GGUF-BROKEN with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf TheDrummer/Anubis-70B-v1-GGUF-BROKEN: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 "TheDrummer/Anubis-70B-v1-GGUF-BROKEN: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"
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Note: Some quants in this repo are broken. Please use quants from other users like Bartowski.
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Anubis 70B v1 ๐ฉ
Special Thanks
- Thank you to each and everyone who donated and subscribed in Ko-Fi to make our venture a little bit easier.
Supported Chat Template
- Llama 3 Chat (system, user, assistant)
Description
I would say, all in all, Anubis is my preferred L3.3 finetune so far. It managed to pull me away from Behemoth, and that's extremely impressive for a model almost half the size.
It's a very balanced model between the L3.3 tunes. It's very creative, able to come up with new and interesting scenarios on your own that will thoroughly surprise you in ways that remind me of a 123B model. It has some of the most natural sounding dialogue and prose can come out of any model I've tried with the right swipe, in a way that truly brings your characters and RP to life that makes you feel like you're talking to a human writer instead of an AI - a quality that reminds me of Character AI in its prime. This model loves a great prompt and thrives off instructions.
It punches well above its weight and is now my preferred model. The prose, natural flow, adherence, speed and of course creativity is a five star meal, cooked by the Chef himself.
It bats higher than its 70b baseline; more in the 120b range.
It's like I was talking to a real girl!
Links
- Original: https://huggingface.co/TheDrummer/Anubis-70B-v1
GGUF (broken): https://huggingface.co/TheDrummer/Anubis-70B-v1-GGUF- iMatrix (recommended): https://huggingface.co/bartowski/Anubis-70B-v1-GGUF
Favorite RP Format
*action* Dialogue *thoughts* Dialogue *narration* in 1st person PoV
Favorite Card
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