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 KomorAI/Deepseek-R1-1.5B-KomorAI:Q4_K_M# Run inference directly in the terminal:
llama cli -hf KomorAI/Deepseek-R1-1.5B-KomorAI:Q4_K_MBuild from source code
git clone https://github.com/ggml-org/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-app# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama serve -hf KomorAI/Deepseek-R1-1.5B-KomorAI:Q4_K_M# Run inference directly in the terminal:
./build/bin/llama cli -hf KomorAI/Deepseek-R1-1.5B-KomorAI:Q4_K_MUse Docker
docker model run hf.co/KomorAI/Deepseek-R1-1.5B-KomorAI:Q4_K_MQuick Links
Deepseek-R1-1.5B-KomorAI : GGUF
This model was converted to GGUF format using Unsloth.
Example usage:
- For text only LLMs:
llama-cli -hf KomorAI/Deepseek-R1-1.5B-KomorAI --jinja - For multimodal models:
llama-mtmd-cli -hf KomorAI/Deepseek-R1-1.5B-KomorAI --jinja
Available model files:
DeepSeek-R1-Distill-Qwen-1.5B.Q4_K_M.gguf
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Install (macOS, Linux)
# Start a local OpenAI-compatible server with a web UI: llama serve -hf KomorAI/Deepseek-R1-1.5B-KomorAI:Q4_K_M# Run inference directly in the terminal: llama cli -hf KomorAI/Deepseek-R1-1.5B-KomorAI:Q4_K_M