How to use leeroy-jankins/bobo with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("leeroy-jankins/bobo") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
How to use leeroy-jankins/bobo with llama.cpp:
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf leeroy-jankins/bobo:Q4_K_M # Run inference directly in the terminal: llama cli -hf leeroy-jankins/bobo:Q4_K_M
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf leeroy-jankins/bobo:Q4_K_M # Run inference directly in the terminal: llama cli -hf leeroy-jankins/bobo:Q4_K_M
# 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 leeroy-jankins/bobo:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf leeroy-jankins/bobo:Q4_K_M
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 leeroy-jankins/bobo:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf leeroy-jankins/bobo:Q4_K_M
docker model run hf.co/leeroy-jankins/bobo:Q4_K_M
How to use leeroy-jankins/bobo with Ollama:
ollama run hf.co/leeroy-jankins/bobo:Q4_K_M
How to use leeroy-jankins/bobo with Docker Model Runner:
How to use leeroy-jankins/bobo with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull leeroy-jankins/bobo:Q4_K_M
lemonade run user.bobo-Q4_K_M
lemonade list
