How to use from
llama.cppInstall 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/BeeLLMUse 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/BeeLLMBuild 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/BeeLLMUse Docker
docker model run hf.co/schizophyllume/BeeLLMQuick Links
Model Details
Bee LLM is a bee
BeeLLM-30P - the original
BeeLLM-42P - more expressive
BeeLLM-42P-Chaos - chaos mode
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
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Hardware compatibility
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Install (macOS, Linux)
# 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