Instructions to use Felladrin/gguf-Q8_0-bge-reranker-v2-m3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Felladrin/gguf-Q8_0-bge-reranker-v2-m3 with sentence-transformers:
from sentence_transformers import CrossEncoder model = CrossEncoder("Felladrin/gguf-Q8_0-bge-reranker-v2-m3") query = "Which planet is known as the Red Planet?" passages = [ "Venus is often called Earth's twin because of its similar size and proximity.", "Mars, known for its reddish appearance, is often referred to as the Red Planet.", "Jupiter, the largest planet in our solar system, has a prominent red spot.", "Saturn, famous for its rings, is sometimes mistaken for the Red Planet." ] scores = model.predict([(query, passage) for passage in passages]) print(scores) - Transformers
How to use Felladrin/gguf-Q8_0-bge-reranker-v2-m3 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Felladrin/gguf-Q8_0-bge-reranker-v2-m3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use Felladrin/gguf-Q8_0-bge-reranker-v2-m3 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 Felladrin/gguf-Q8_0-bge-reranker-v2-m3:Q8_0 # Run inference directly in the terminal: llama cli -hf Felladrin/gguf-Q8_0-bge-reranker-v2-m3:Q8_0
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Felladrin/gguf-Q8_0-bge-reranker-v2-m3:Q8_0 # Run inference directly in the terminal: llama cli -hf Felladrin/gguf-Q8_0-bge-reranker-v2-m3:Q8_0
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 Felladrin/gguf-Q8_0-bge-reranker-v2-m3:Q8_0 # Run inference directly in the terminal: ./llama-cli -hf Felladrin/gguf-Q8_0-bge-reranker-v2-m3:Q8_0
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 Felladrin/gguf-Q8_0-bge-reranker-v2-m3:Q8_0 # Run inference directly in the terminal: ./build/bin/llama-cli -hf Felladrin/gguf-Q8_0-bge-reranker-v2-m3:Q8_0
Use Docker
docker model run hf.co/Felladrin/gguf-Q8_0-bge-reranker-v2-m3:Q8_0
- LM Studio
- Jan
- Ollama
How to use Felladrin/gguf-Q8_0-bge-reranker-v2-m3 with Ollama:
ollama run hf.co/Felladrin/gguf-Q8_0-bge-reranker-v2-m3:Q8_0
- Unsloth Studio
How to use Felladrin/gguf-Q8_0-bge-reranker-v2-m3 with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for Felladrin/gguf-Q8_0-bge-reranker-v2-m3 to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for Felladrin/gguf-Q8_0-bge-reranker-v2-m3 to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Felladrin/gguf-Q8_0-bge-reranker-v2-m3 to start chatting
- Docker Model Runner
How to use Felladrin/gguf-Q8_0-bge-reranker-v2-m3 with Docker Model Runner:
docker model run hf.co/Felladrin/gguf-Q8_0-bge-reranker-v2-m3:Q8_0
- Lemonade
How to use Felladrin/gguf-Q8_0-bge-reranker-v2-m3 with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Felladrin/gguf-Q8_0-bge-reranker-v2-m3:Q8_0
Run and chat with the model
lemonade run user.gguf-Q8_0-bge-reranker-v2-m3-Q8_0
List all available models
lemonade list
- Atomic Chat
Run and chat with the model
lemonade run user.gguf-Q8_0-bge-reranker-v2-m3-Q8_0List all available models
lemonade listFelladrin/bge-reranker-v2-m3-Q8_0-GGUF
This model was converted to GGUF format from BAAI/bge-reranker-v2-m3 using llama.cpp via the ggml.ai's GGUF-my-repo space.
Refer to the original model card for more details on the model.
Use with llama.cpp
Install llama.cpp through brew (works on Mac and Linux)
brew install llama.cpp
Invoke the llama.cpp server or the CLI.
CLI:
llama-cli --hf-repo Felladrin/bge-reranker-v2-m3-Q8_0-GGUF --hf-file bge-reranker-v2-m3-q8_0.gguf -p "The meaning to life and the universe is"
Server:
llama-server --hf-repo Felladrin/bge-reranker-v2-m3-Q8_0-GGUF --hf-file bge-reranker-v2-m3-q8_0.gguf -c 2048
Note: You can also use this checkpoint directly through the usage steps listed in the Llama.cpp repo as well.
Step 1: Clone llama.cpp from GitHub.
git clone https://github.com/ggerganov/llama.cpp
Step 2: Move into the llama.cpp folder and build it with LLAMA_CURL=1 flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).
cd llama.cpp && LLAMA_CURL=1 make
Step 3: Run inference through the main binary.
./llama-cli --hf-repo Felladrin/bge-reranker-v2-m3-Q8_0-GGUF --hf-file bge-reranker-v2-m3-q8_0.gguf -p "The meaning to life and the universe is"
or
./llama-server --hf-repo Felladrin/bge-reranker-v2-m3-Q8_0-GGUF --hf-file bge-reranker-v2-m3-q8_0.gguf -c 2048
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Model tree for Felladrin/gguf-Q8_0-bge-reranker-v2-m3
Base model
BAAI/bge-reranker-v2-m3
Pull the model
# Download Lemonade from https://lemonade-server.ai/