IQ2 IMatrix GGUF
Collection
Tiny quants • 7 items • Updated • 1
How to use Kooten/Aurora-Nights-70B-v1.0-IQ2-GGUF with llama.cpp:
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf Kooten/Aurora-Nights-70B-v1.0-IQ2-GGUF:IQ2_XS # Run inference directly in the terminal: llama cli -hf Kooten/Aurora-Nights-70B-v1.0-IQ2-GGUF:IQ2_XS
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Kooten/Aurora-Nights-70B-v1.0-IQ2-GGUF:IQ2_XS # Run inference directly in the terminal: llama cli -hf Kooten/Aurora-Nights-70B-v1.0-IQ2-GGUF:IQ2_XS
# 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 Kooten/Aurora-Nights-70B-v1.0-IQ2-GGUF:IQ2_XS # Run inference directly in the terminal: ./llama-cli -hf Kooten/Aurora-Nights-70B-v1.0-IQ2-GGUF:IQ2_XS
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 Kooten/Aurora-Nights-70B-v1.0-IQ2-GGUF:IQ2_XS # Run inference directly in the terminal: ./build/bin/llama-cli -hf Kooten/Aurora-Nights-70B-v1.0-IQ2-GGUF:IQ2_XS
docker model run hf.co/Kooten/Aurora-Nights-70B-v1.0-IQ2-GGUF:IQ2_XS
How to use Kooten/Aurora-Nights-70B-v1.0-IQ2-GGUF with Ollama:
ollama run hf.co/Kooten/Aurora-Nights-70B-v1.0-IQ2-GGUF:IQ2_XS
How to use Kooten/Aurora-Nights-70B-v1.0-IQ2-GGUF with Docker Model Runner:
docker model run hf.co/Kooten/Aurora-Nights-70B-v1.0-IQ2-GGUF:IQ2_XS
How to use Kooten/Aurora-Nights-70B-v1.0-IQ2-GGUF with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Kooten/Aurora-Nights-70B-v1.0-IQ2-GGUF:IQ2_XS
lemonade run user.Aurora-Nights-70B-v1.0-IQ2-GGUF-IQ2_XS
lemonade list
IQ2-GGUF quants of sophosympatheia/Aurora-Nights-70B-v1.0
Unlike regular GGUF quants this uses important matrix similar to Quip# to keep the quant from degrading too much even at 2bpw allowing you to run larger models on less powerful machines.
NOTE: Currently you will need experimental branches of Koboldcpp or Ooba for this to work.
Regular GGUF Quants: Here
Unclear
Kooten on discord
2-bit