Instructions to use dranger003/SFR-Embedding-Mistral-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use dranger003/SFR-Embedding-Mistral-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 dranger003/SFR-Embedding-Mistral-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf dranger003/SFR-Embedding-Mistral-GGUF:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf dranger003/SFR-Embedding-Mistral-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf dranger003/SFR-Embedding-Mistral-GGUF:Q4_K_M
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 dranger003/SFR-Embedding-Mistral-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf dranger003/SFR-Embedding-Mistral-GGUF:Q4_K_M
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 dranger003/SFR-Embedding-Mistral-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf dranger003/SFR-Embedding-Mistral-GGUF:Q4_K_M
Use Docker
docker model run hf.co/dranger003/SFR-Embedding-Mistral-GGUF:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use dranger003/SFR-Embedding-Mistral-GGUF with Ollama:
ollama run hf.co/dranger003/SFR-Embedding-Mistral-GGUF:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use dranger003/SFR-Embedding-Mistral-GGUF with Docker Model Runner:
docker model run hf.co/dranger003/SFR-Embedding-Mistral-GGUF:Q4_K_M
- Lemonade
How to use dranger003/SFR-Embedding-Mistral-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull dranger003/SFR-Embedding-Mistral-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.SFR-Embedding-Mistral-GGUF-Q4_K_M
List all available models
lemonade list
- Atomic Chat
is it possible to use this model with LM Studio ??
#1
by michabbb - opened
the latest version of LM Studio supports embedddings, but this model is not displayed as "embedding model" that´s why I am asking. maybe it´s a LM Studio issue, I don´t know. thanks
okay, i can answer this myself ;) the current (beta) of lm studio says:
Any BERT model in GGUF format is expected to work
michabbb changed discussion status to closed
@michabbb I wouldn't know as I don't use LM Studio, sorry. You may want to open an issue with the team behind the project.