Instructions to use prism-ml/Ternary-Bonsai-2-27B-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 prism-ml/Ternary-Bonsai-2-27B-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 prism-ml/Ternary-Bonsai-2-27B-gguf:F16 # Run inference directly in the terminal: llama cli -hf prism-ml/Ternary-Bonsai-2-27B-gguf:F16
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf prism-ml/Ternary-Bonsai-2-27B-gguf:F16 # Run inference directly in the terminal: llama cli -hf prism-ml/Ternary-Bonsai-2-27B-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 prism-ml/Ternary-Bonsai-2-27B-gguf:F16 # Run inference directly in the terminal: ./llama-cli -hf prism-ml/Ternary-Bonsai-2-27B-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 prism-ml/Ternary-Bonsai-2-27B-gguf:F16 # Run inference directly in the terminal: ./build/bin/llama-cli -hf prism-ml/Ternary-Bonsai-2-27B-gguf:F16
Use Docker
docker model run hf.co/prism-ml/Ternary-Bonsai-2-27B-gguf:F16
- LM Studio
- Jan
- vLLM
How to use prism-ml/Ternary-Bonsai-2-27B-gguf with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "prism-ml/Ternary-Bonsai-2-27B-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": "prism-ml/Ternary-Bonsai-2-27B-gguf", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/prism-ml/Ternary-Bonsai-2-27B-gguf:F16
- Ollama
How to use prism-ml/Ternary-Bonsai-2-27B-gguf with Ollama:
ollama run hf.co/prism-ml/Ternary-Bonsai-2-27B-gguf:F16
- Unsloth Desktop
- Pi
How to use prism-ml/Ternary-Bonsai-2-27B-gguf with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf prism-ml/Ternary-Bonsai-2-27B-gguf:F16
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": "prism-ml/Ternary-Bonsai-2-27B-gguf:F16" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use prism-ml/Ternary-Bonsai-2-27B-gguf with Docker Model Runner:
docker model run hf.co/prism-ml/Ternary-Bonsai-2-27B-gguf:F16
- Lemonade
How to use prism-ml/Ternary-Bonsai-2-27B-gguf with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull prism-ml/Ternary-Bonsai-2-27B-gguf:F16
Run and chat with the model
lemonade run user.Ternary-Bonsai-2-27B-gguf-F16
List all available models
lemonade list
- Hermes Agent
How to use prism-ml/Ternary-Bonsai-2-27B-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 prism-ml/Ternary-Bonsai-2-27B-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 prism-ml/Ternary-Bonsai-2-27B-gguf:F16
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use prism-ml/Ternary-Bonsai-2-27B-gguf with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf prism-ml/Ternary-Bonsai-2-27B-gguf:F16
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 "prism-ml/Ternary-Bonsai-2-27B-gguf:F16" \ --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"
Does not work in LM Studio (NB - update CUDA, use NOXZURE1's answer)
Tried to use this as it was listed in the model search. However it is not supported yet.
The underlying problem is that LM Studio does not natively support custom ternary weights yet. This is for anyone else who tries on the current lm studio. I'm only running on this rather than getting into alternatives - I'm just playing around.
Your LM studio is out of date.
LM Studio uses llama.cpp as their model runner. AFAIK, they no longer use mainline, but maintain their own fork. Until the edits that prism made to llama.cpp land in LM Studios fork of llama.cpp, this model will not work in LMS.
It does work with LM Studios with custom runtime forks. like how i made one. Yall can use this one as i uploaded it. Please verify you got the req it needs. Like Cuda 13 or 14. Ima also soon make a release for the cpu version which is already in the repo. just not in releases.
https://github.com/NOXZURE/llama.cpp-PrismML-Fork-LmStudio
Hope this works for yall. Has worked for basically all the 180 people that already downloaded it. Atleast only got one issue till now. All love ❤️
make sure to provide feedback if it works or not
It does work with LM Studios with custom runtime forks. like how i made one. Yall can use this one as i uploaded it. Please verify you got the req it needs. Like Cuda 13 or 14. Ima also soon make a release for the cpu version which is already in the repo. just not in releases.
https://github.com/NOXZURE/llama.cpp-PrismML-Fork-LmStudio
Hope this works for yall. Has worked for basically all the 180 people that already downloaded it. Atleast only got one issue till now. All love ❤️make sure to provide feedback if it works or not
It worked like a bloody charm.
I followed the steps - CUDA itself needed updating too, something your release makes clear, so thank you for that too. Its now running on my old 3080ti/athlon 3900x at 47tk/s - quite, quite acceptable.
So thank you very much
No problem. The cuda that needs to be updated comes with drivers anyways so for the people reading this. update yalls drivers.
im guessing it wont work with rocm?
It does work with LM Studios with custom runtime forks. like how i made one. Yall can use this one as i uploaded it. Please verify you got the req it needs. Like Cuda 13 or 14. Ima also soon make a release for the cpu version which is already in the repo. just not in releases.
https://github.com/NOXZURE/llama.cpp-PrismML-Fork-LmStudio
Hope this works for yall. Has worked for basically all the 180 people that already downloaded it. Atleast only got one issue till now. All love ❤️make sure to provide feedback if it works or not
im guessing it wont work with rocm?
im guessing it wont work with rocm?
It does work with LM Studios with custom runtime forks. like how i made one. Yall can use this one as i uploaded it. Please verify you got the req it needs. Like Cuda 13 or 14. Ima also soon make a release for the cpu version which is already in the repo. just not in releases.
https://github.com/NOXZURE/llama.cpp-PrismML-Fork-LmStudio
Hope this works for yall. Has worked for basically all the 180 people that already downloaded it. Atleast only got one issue till now. All love ❤️make sure to provide feedback if it works or not
im guessing it wont work with rocm?
nope sadly not yet. I could try to make an experimental one with the rocm one on the release page here. but i can't test it myself as i don't got a Radeon GPU.
I'll try to do it but i can't promise things
You can try this one and if it works. make sure you tell me like in here or smth so i can release this one aswell. but idk if it does or doesn't as i don't got a RDNA GPU.
https://drive.google.com/file/d/1e2Y6-PtDMvhscl5OxVQe22rhRXWthThi/view?usp=sharing
For anyone new. Use this for Cuda / CPU. AMD GPUs aren't supported.
https://github.com/NOXZURE/llama.cpp-PrismML-Fork-LmStudio
