How to use gpustack/gte-multilingual-reranker-base-GGUF with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("gpustack/gte-multilingual-reranker-base-GGUF") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3]
How to use gpustack/gte-multilingual-reranker-base-GGUF with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gpustack/gte-multilingual-reranker-base-GGUF")
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("gpustack/gte-multilingual-reranker-base-GGUF", device_map="auto")
How to use gpustack/gte-multilingual-reranker-base-GGUF with llama.cpp:
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf gpustack/gte-multilingual-reranker-base-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf gpustack/gte-multilingual-reranker-base-GGUF:Q4_K_M
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf gpustack/gte-multilingual-reranker-base-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf gpustack/gte-multilingual-reranker-base-GGUF: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 gpustack/gte-multilingual-reranker-base-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf gpustack/gte-multilingual-reranker-base-GGUF: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 gpustack/gte-multilingual-reranker-base-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf gpustack/gte-multilingual-reranker-base-GGUF:Q4_K_M
docker model run hf.co/gpustack/gte-multilingual-reranker-base-GGUF:Q4_K_M
How to use gpustack/gte-multilingual-reranker-base-GGUF with Ollama:
ollama run hf.co/gpustack/gte-multilingual-reranker-base-GGUF:Q4_K_M
How to use gpustack/gte-multilingual-reranker-base-GGUF with Docker Model Runner:
How to use gpustack/gte-multilingual-reranker-base-GGUF with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull gpustack/gte-multilingual-reranker-base-GGUF:Q4_K_M
lemonade run user.gte-multilingual-reranker-base-GGUF-Q4_K_M
lemonade list
