Instructions to use Jarbas/all-MiniLM-L6-v2-Q4_K_M-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Jarbas/all-MiniLM-L6-v2-Q4_K_M-GGUF with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Jarbas/all-MiniLM-L6-v2-Q4_K_M-GGUF") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Transformers
How to use Jarbas/all-MiniLM-L6-v2-Q4_K_M-GGUF with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Jarbas/all-MiniLM-L6-v2-Q4_K_M-GGUF", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use Jarbas/all-MiniLM-L6-v2-Q4_K_M-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 Jarbas/all-MiniLM-L6-v2-Q4_K_M-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf Jarbas/all-MiniLM-L6-v2-Q4_K_M-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 Jarbas/all-MiniLM-L6-v2-Q4_K_M-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf Jarbas/all-MiniLM-L6-v2-Q4_K_M-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 Jarbas/all-MiniLM-L6-v2-Q4_K_M-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf Jarbas/all-MiniLM-L6-v2-Q4_K_M-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 Jarbas/all-MiniLM-L6-v2-Q4_K_M-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf Jarbas/all-MiniLM-L6-v2-Q4_K_M-GGUF:Q4_K_M
Use Docker
docker model run hf.co/Jarbas/all-MiniLM-L6-v2-Q4_K_M-GGUF:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use Jarbas/all-MiniLM-L6-v2-Q4_K_M-GGUF with Ollama:
ollama run hf.co/Jarbas/all-MiniLM-L6-v2-Q4_K_M-GGUF:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use Jarbas/all-MiniLM-L6-v2-Q4_K_M-GGUF with Docker Model Runner:
docker model run hf.co/Jarbas/all-MiniLM-L6-v2-Q4_K_M-GGUF:Q4_K_M
- Lemonade
How to use Jarbas/all-MiniLM-L6-v2-Q4_K_M-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Jarbas/all-MiniLM-L6-v2-Q4_K_M-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.all-MiniLM-L6-v2-Q4_K_M-GGUF-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Jarbas/all-MiniLM-L6-v2-Q4_K_M-GGUF
This model was converted to GGUF format from sentence-transformers/all-MiniLM-L6-v2 using llama.cpp via the ggml.ai's GGUF-my-repo space.
Refer to the original model card for more details on the model.
Use with llama.cpp
Install llama.cpp through brew (works on Mac and Linux)
brew install llama.cpp
Invoke the llama.cpp server or the CLI.
CLI:
llama --hf-repo Jarbas/all-MiniLM-L6-v2-Q4_K_M-GGUF --hf-file all-minilm-l6-v2-q4_k_m.gguf -p "The meaning to life and the universe is"
Server:
llama-server --hf-repo Jarbas/all-MiniLM-L6-v2-Q4_K_M-GGUF --hf-file all-minilm-l6-v2-q4_k_m.gguf -c 2048
Note: You can also use this checkpoint directly through the usage steps listed in the Llama.cpp repo as well.
Step 1: Clone llama.cpp from GitHub.
git clone https://github.com/ggerganov/llama.cpp
Step 2: Move into the llama.cpp folder and build it with LLAMA_CURL=1 flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).
cd llama.cpp && LLAMA_CURL=1 make
Step 3: Run inference through the main binary.
./main --hf-repo Jarbas/all-MiniLM-L6-v2-Q4_K_M-GGUF --hf-file all-minilm-l6-v2-q4_k_m.gguf -p "The meaning to life and the universe is"
or
./server --hf-repo Jarbas/all-MiniLM-L6-v2-Q4_K_M-GGUF --hf-file all-minilm-l6-v2-q4_k_m.gguf -c 2048
- Downloads last month
- 34
4-bit
Model tree for Jarbas/all-MiniLM-L6-v2-Q4_K_M-GGUF
Base model
nreimers/MiniLM-L6-H384-uncased