Instructions to use schizophyllume/BeeLLM 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 schizophyllume/BeeLLM 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 schizophyllume/BeeLLM # Run inference directly in the terminal: llama cli -hf schizophyllume/BeeLLM
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf schizophyllume/BeeLLM # Run inference directly in the terminal: llama cli -hf schizophyllume/BeeLLM
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 schizophyllume/BeeLLM # Run inference directly in the terminal: ./llama-cli -hf schizophyllume/BeeLLM
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 schizophyllume/BeeLLM # Run inference directly in the terminal: ./build/bin/llama-cli -hf schizophyllume/BeeLLM
Use Docker
docker model run hf.co/schizophyllume/BeeLLM
- LM Studio
- Jan
- vLLM
How to use schizophyllume/BeeLLM with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "schizophyllume/BeeLLM" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "schizophyllume/BeeLLM", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/schizophyllume/BeeLLM
- Ollama
How to use schizophyllume/BeeLLM with Ollama:
ollama run hf.co/schizophyllume/BeeLLM
- Unsloth Desktop
- Docker Model Runner
How to use schizophyllume/BeeLLM with Docker Model Runner:
docker model run hf.co/schizophyllume/BeeLLM
- Lemonade
How to use schizophyllume/BeeLLM with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull schizophyllume/BeeLLM
Run and chat with the model
lemonade run user.BeeLLM-{{QUANT_TAG}}List all available models
lemonade list
- Atomic Chat
Model Details
Bee LLM is a bee
Model Details
- BeeLLM-30P
The original 30 parameter bee
- BeeLLM-42P
More expressive with 42 parameters. Can now sting
- BeeLLM-42P-Chaos
Chaos mode
- BeeLLM-1M-Mood, BeeLLM-1M-Mood-Chaos, and BeeLLM-12M-Mood
Coming soon!
- Developed by: skizy
- Funded by [optional]: skizy
- Shared by [optional]: skizy
- Model type: bee
- Language(s) (NLP): buzz
- License: Apache 2.0
Uses
Buzzing and pollinating flowers
Bias, Risks, and Limitations
may sting
Recommendations
give flowers to pollinate and cheerful words
How to Get Started with the Model
llama-server -m models/BeeLLM-30P.gguf -c 4096 --port 8081
Training Data
Flowers, meadows, and nice forests
- Downloads last month
- 234
Hardware compatibility
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