sentence-transformers
GGUF
Transformers
mteb
llama-cpp
gguf-my-repo
Eval Results (legacy)
feature-extraction
Instructions to use Zenabius/multilingual-e5-large-instruct-Q8_0-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Zenabius/multilingual-e5-large-instruct-Q8_0-GGUF with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Zenabius/multilingual-e5-large-instruct-Q8_0-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] - Transformers
How to use Zenabius/multilingual-e5-large-instruct-Q8_0-GGUF with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Zenabius/multilingual-e5-large-instruct-Q8_0-GGUF", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use Zenabius/multilingual-e5-large-instruct-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 Zenabius/multilingual-e5-large-instruct-Q8_0-GGUF:Q8_0 # Run inference directly in the terminal: llama cli -hf Zenabius/multilingual-e5-large-instruct-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 Zenabius/multilingual-e5-large-instruct-Q8_0-GGUF:Q8_0 # Run inference directly in the terminal: llama cli -hf Zenabius/multilingual-e5-large-instruct-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 Zenabius/multilingual-e5-large-instruct-Q8_0-GGUF:Q8_0 # Run inference directly in the terminal: ./llama-cli -hf Zenabius/multilingual-e5-large-instruct-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 Zenabius/multilingual-e5-large-instruct-Q8_0-GGUF:Q8_0 # Run inference directly in the terminal: ./build/bin/llama-cli -hf Zenabius/multilingual-e5-large-instruct-Q8_0-GGUF:Q8_0
Use Docker
docker model run hf.co/Zenabius/multilingual-e5-large-instruct-Q8_0-GGUF:Q8_0
- LM Studio
- Jan
- Ollama
How to use Zenabius/multilingual-e5-large-instruct-Q8_0-GGUF with Ollama:
ollama run hf.co/Zenabius/multilingual-e5-large-instruct-Q8_0-GGUF:Q8_0
- Unsloth Desktop
- Docker Model Runner
How to use Zenabius/multilingual-e5-large-instruct-Q8_0-GGUF with Docker Model Runner:
docker model run hf.co/Zenabius/multilingual-e5-large-instruct-Q8_0-GGUF:Q8_0
- Lemonade
How to use Zenabius/multilingual-e5-large-instruct-Q8_0-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Zenabius/multilingual-e5-large-instruct-Q8_0-GGUF:Q8_0
Run and chat with the model
lemonade run user.multilingual-e5-large-instruct-Q8_0-GGUF-Q8_0
List all available models
lemonade list
- Atomic Chat
Upload multilingual-e5-large-instruct-q8_0.gguf with huggingface_hub
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