How to use from
llama.cppInstall from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf intextus/all-MiniLM-L6-v2-GGUF:# Run inference directly in the terminal:
llama cli -hf intextus/all-MiniLM-L6-v2-GGUF: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 intextus/all-MiniLM-L6-v2-GGUF:# Run inference directly in the terminal:
./llama-cli -hf intextus/all-MiniLM-L6-v2-GGUF: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 intextus/all-MiniLM-L6-v2-GGUF:# Run inference directly in the terminal:
./build/bin/llama-cli -hf intextus/all-MiniLM-L6-v2-GGUF:Use Docker
docker model run hf.co/intextus/all-MiniLM-L6-v2-GGUF:Quick Links
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
all-MiniLM-L6-v2-GGUF
This repository contains GGUF format model files for sentence-transformers/all-MiniLM-L6-v2, generated with the intextus BERT GGUF conversion pipeline.
These files are fully compatible with llama.cpp and intextus.
Available Files & Quantizations
all-MiniLM-L6-v2-F32.gguf: Full precision F32 (recommended for maximum accuracy and zero dequantization overhead on CPU).all-MiniLM-L6-v2-F16.gguf: Half precision F16.all-MiniLM-L6-v2-Q8_0.gguf: 8-bit quantization (recommended default, fast and near-lossless).all-MiniLM-L6-v2-Q6_K.gguf: 6-bit quantization.all-MiniLM-L6-v2-Q5_K_M.gguf: 5-bit quantization (Medium).all-MiniLM-L6-v2-Q5_0.gguf: 5-bit quantization.all-MiniLM-L6-v2-Q4_K_M.gguf: 4-bit quantization (Medium).all-MiniLM-L6-v2-Q4_0.gguf: 4-bit quantization.all-MiniLM-L6-v2-Q3_K_M.gguf: 3-bit quantization (Medium).all-MiniLM-L6-v2-Q2_K.gguf: 2-bit quantization.
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Install (macOS, Linux)
# Start a local OpenAI-compatible server with a web UI: llama serve -hf intextus/all-MiniLM-L6-v2-GGUF:# Run inference directly in the terminal: llama cli -hf intextus/all-MiniLM-L6-v2-GGUF: