How to use from
llama.cpp
Install from brew
brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf embedme/OpenReason-ModernColBERT-GGUF:Q8_0
# Run inference directly in the terminal:
llama-cli -hf embedme/OpenReason-ModernColBERT-GGUF:Q8_0
Install from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf embedme/OpenReason-ModernColBERT-GGUF:Q8_0
# Run inference directly in the terminal:
llama-cli -hf embedme/OpenReason-ModernColBERT-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 embedme/OpenReason-ModernColBERT-GGUF:Q8_0
# Run inference directly in the terminal:
./llama-cli -hf embedme/OpenReason-ModernColBERT-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 embedme/OpenReason-ModernColBERT-GGUF:Q8_0
# Run inference directly in the terminal:
./build/bin/llama-cli -hf embedme/OpenReason-ModernColBERT-GGUF:Q8_0
Use Docker
docker model run hf.co/embedme/OpenReason-ModernColBERT-GGUF:Q8_0
Quick Links

OpenReason-ModernColBERT GGUF

GGUF conversion of ctrltokyo/OpenReason-ModernColBERT for use with litembeddings.

Files

File Size Description
openreason-moderncolbert-Q8_0.gguf 153M Q8_0 quantized ModernBERT encoder
openreason-moderncolbert-Q8_0.projection 385K ColBERT 768 to 128 linear projection

Usage with litembeddings

Source Model

  • Architecture: ModernBERT (150M params)
  • Training: Fine-tuned on BRIGHT benchmark reasoning tasks
  • Base: lightonai/GTE-ModernColBERT-v1
  • License: Apache 2.0
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