- Libraries
- sentence-transformers
How to use ecbercnl/ettin-reranker-150m-v1-Q8_0-GGUF with sentence-transformers:
from sentence_transformers import CrossEncoder
model = CrossEncoder("ecbercnl/ettin-reranker-150m-v1-Q8_0-GGUF")
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) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use ecbercnl/ettin-reranker-150m-v1-Q8_0-GGUF 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 ecbercnl/ettin-reranker-150m-v1-Q8_0-GGUF:Q8_0
# Run inference directly in the terminal:
llama cli -hf ecbercnl/ettin-reranker-150m-v1-Q8_0-GGUF:Q8_0
Install from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf ecbercnl/ettin-reranker-150m-v1-Q8_0-GGUF:Q8_0
# Run inference directly in the terminal:
llama cli -hf ecbercnl/ettin-reranker-150m-v1-Q8_0-GGUF: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 ecbercnl/ettin-reranker-150m-v1-Q8_0-GGUF:Q8_0
# Run inference directly in the terminal:
./llama-cli -hf ecbercnl/ettin-reranker-150m-v1-Q8_0-GGUF: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 ecbercnl/ettin-reranker-150m-v1-Q8_0-GGUF:Q8_0
# Run inference directly in the terminal:
./build/bin/llama-cli -hf ecbercnl/ettin-reranker-150m-v1-Q8_0-GGUF:Q8_0
Use Docker
docker model run hf.co/ecbercnl/ettin-reranker-150m-v1-Q8_0-GGUF:Q8_0
- LM Studio
- Jan
- Ollama
How to use ecbercnl/ettin-reranker-150m-v1-Q8_0-GGUF with Ollama:
ollama run hf.co/ecbercnl/ettin-reranker-150m-v1-Q8_0-GGUF:Q8_0
- Unsloth Studio
How to use ecbercnl/ettin-reranker-150m-v1-Q8_0-GGUF 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 ecbercnl/ettin-reranker-150m-v1-Q8_0-GGUF 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 ecbercnl/ettin-reranker-150m-v1-Q8_0-GGUF to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for ecbercnl/ettin-reranker-150m-v1-Q8_0-GGUF to start chatting
- Docker Model Runner
How to use ecbercnl/ettin-reranker-150m-v1-Q8_0-GGUF with Docker Model Runner:
docker model run hf.co/ecbercnl/ettin-reranker-150m-v1-Q8_0-GGUF:Q8_0
- Lemonade
How to use ecbercnl/ettin-reranker-150m-v1-Q8_0-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/
lemonade pull ecbercnl/ettin-reranker-150m-v1-Q8_0-GGUF:Q8_0
Run and chat with the model
lemonade run user.ettin-reranker-150m-v1-Q8_0-GGUF-Q8_0
List all available models
lemonade list
- Atomic Chat
