Text Ranking
sentence-transformers
GGUF
English
cross-encoder
reranker
Generated from Trainer
dataset_size:143393475
loss:MSELoss
llama-cpp
gguf-my-repo
Eval Results (legacy)
feature-extraction
Instructions to use klnstpr/ettin-reranker-1b-v1-Q8_0-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use klnstpr/ettin-reranker-1b-v1-Q8_0-GGUF with sentence-transformers:
from sentence_transformers import CrossEncoder model = CrossEncoder("klnstpr/ettin-reranker-1b-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 klnstpr/ettin-reranker-1b-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 klnstpr/ettin-reranker-1b-v1-Q8_0-GGUF:Q8_0 # Run inference directly in the terminal: llama cli -hf klnstpr/ettin-reranker-1b-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 klnstpr/ettin-reranker-1b-v1-Q8_0-GGUF:Q8_0 # Run inference directly in the terminal: llama cli -hf klnstpr/ettin-reranker-1b-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 klnstpr/ettin-reranker-1b-v1-Q8_0-GGUF:Q8_0 # Run inference directly in the terminal: ./llama-cli -hf klnstpr/ettin-reranker-1b-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 klnstpr/ettin-reranker-1b-v1-Q8_0-GGUF:Q8_0 # Run inference directly in the terminal: ./build/bin/llama-cli -hf klnstpr/ettin-reranker-1b-v1-Q8_0-GGUF:Q8_0
Use Docker
docker model run hf.co/klnstpr/ettin-reranker-1b-v1-Q8_0-GGUF:Q8_0
- LM Studio
- Jan
- Ollama
How to use klnstpr/ettin-reranker-1b-v1-Q8_0-GGUF with Ollama:
ollama run hf.co/klnstpr/ettin-reranker-1b-v1-Q8_0-GGUF:Q8_0
- Unsloth Studio
How to use klnstpr/ettin-reranker-1b-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 klnstpr/ettin-reranker-1b-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 klnstpr/ettin-reranker-1b-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 klnstpr/ettin-reranker-1b-v1-Q8_0-GGUF to start chatting
- Docker Model Runner
How to use klnstpr/ettin-reranker-1b-v1-Q8_0-GGUF with Docker Model Runner:
docker model run hf.co/klnstpr/ettin-reranker-1b-v1-Q8_0-GGUF:Q8_0
- Lemonade
How to use klnstpr/ettin-reranker-1b-v1-Q8_0-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull klnstpr/ettin-reranker-1b-v1-Q8_0-GGUF:Q8_0
Run and chat with the model
lemonade run user.ettin-reranker-1b-v1-Q8_0-GGUF-Q8_0
List all available models
lemonade list
- Atomic Chat