Instructions to use TheDrummer/Anubis-Pro-105B-v1-GGUF 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-Pro-105B-v1-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 TheDrummer/Anubis-Pro-105B-v1-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf TheDrummer/Anubis-Pro-105B-v1-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 TheDrummer/Anubis-Pro-105B-v1-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf TheDrummer/Anubis-Pro-105B-v1-GGUF:Q4_K_M
Build from source code
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama serve -hf TheDrummer/Anubis-Pro-105B-v1-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama cli -hf TheDrummer/Anubis-Pro-105B-v1-GGUF:Q4_K_M
Use Docker
docker model run hf.co/TheDrummer/Anubis-Pro-105B-v1-GGUF:Q4_K_M
- Llama new
- LM Studio
- Jan
- Ollama
How to use TheDrummer/Anubis-Pro-105B-v1-GGUF with Ollama:
ollama run hf.co/TheDrummer/Anubis-Pro-105B-v1-GGUF:Q4_K_M
- Unsloth Desktop
- Pi
How to use TheDrummer/Anubis-Pro-105B-v1-GGUF 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-Pro-105B-v1-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": "TheDrummer/Anubis-Pro-105B-v1-GGUF:Q4_K_M" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use TheDrummer/Anubis-Pro-105B-v1-GGUF with Docker Model Runner:
docker model run hf.co/TheDrummer/Anubis-Pro-105B-v1-GGUF:Q4_K_M
- Lemonade
How to use TheDrummer/Anubis-Pro-105B-v1-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull TheDrummer/Anubis-Pro-105B-v1-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.Anubis-Pro-105B-v1-GGUF-Q4_K_M
List all available models
lemonade list
- Hermes Agent
How to use TheDrummer/Anubis-Pro-105B-v1-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 TheDrummer/Anubis-Pro-105B-v1-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 TheDrummer/Anubis-Pro-105B-v1-GGUF:Q4_K_M
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use TheDrummer/Anubis-Pro-105B-v1-GGUF 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-Pro-105B-v1-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 "TheDrummer/Anubis-Pro-105B-v1-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"
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Special Thanks
- Thank you to each and everyone who donated and subscribed in Ko-Fi to make our venture a little bit easier.
- I'm also recently unemployed. I am a Software Developer with 8 years of experience in Web, API, AI, and adapting to new tech and requirements. If you're hiring, feel free to reach out to me however.
Supported Chat Template
- Llama 3 Chat for RP and Instruct
- Alpaca for Story Adventure
Description
An upscaled version of Llama 3.3 70B with 50% more layers. Finetuned further to make use of its new layers.
I'm really liking it so far. I haven't noticed any slop, the writing is good, very creative. (I know it's an overused term, but compared to other L3.3 finetunes, it really does feel so.). Definitely deserves a release. I've seen many unique generations in an hour that I've never seen before with other finetunes.
yea it writes like abliterated 3.3, follows my intended writing style nicely
I think overall this feels like a better Behemoth to me. It has a lot of elements of its emotional intelligence, ability to read between the lines and creativity, but without as much slop and with much better character adherence and prompt following. Also with fewer parameters, so it's easier to run too!
After playing around with the new Anubis upscale for a few hours I've gotta say it's my new favourite model so far. It's a bit heavy to run, but welp.
It's a great model and there's a notable intelligent jump over the base Anubis, and many other 70B Llamas I've tried. It mainly feels like an expanded ver of L3.3
Anubus Pro 105B is fantastic, I pushed it to almost 80K context and it still was pretty resonable. 0.75 temp (temp last), 0.2 smoothing factor, 2 smoothing curve, 0.01 min-p, 4 dry_mult, 1 dry_allowed_length, 3 dry_base.
I've been playing with it and it's surprisingly good! It has that... emotional intelligence that you get with 123B, but keeps that L3.3 prompt adherence that keeps characters from drifting. The best of both worlds. Even if it's a little slower, that's worth it. Running at temp 1, min_p 0.02, + Llamaception
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