Instructions to use vonjack/bge-m3-gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use vonjack/bge-m3-gguf with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("vonjack/bge-m3-gguf") 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] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use vonjack/bge-m3-gguf with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible embeddings server: llama serve -hf vonjack/bge-m3-gguf:F16 --embeddings
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible embeddings server: llama serve -hf vonjack/bge-m3-gguf:F16 --embeddings
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible embeddings server: ./llama-server -hf vonjack/bge-m3-gguf:F16 --embeddings
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 embeddings server: ./build/bin/llama-server -hf vonjack/bge-m3-gguf:F16 --embeddings
- LM Studio
- Jan
- Ollama
How to use vonjack/bge-m3-gguf with Ollama:
ollama run hf.co/vonjack/bge-m3-gguf:F16
- Unsloth Desktop
- Docker Model Runner
How to use vonjack/bge-m3-gguf with Docker Model Runner:
docker model run hf.co/vonjack/bge-m3-gguf:F16
- Lemonade
How to use vonjack/bge-m3-gguf with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull vonjack/bge-m3-gguf:F16
Run and chat with the model
lemonade run user.bge-m3-gguf-F16
List all available models
lemonade list
- Atomic Chat
Origin model: BAAI/bge-m3
Tested cosine similarity between "中国" and "中华人民共和国":
bge-m3-f16: 0.9993230772798457
mxbai-embed-large-v1-f16: 0.7287733321223814
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