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 Puhaha/gemma-2-9b-it-SimPO_q4_k_m:Q4_K_M# Run inference directly in the terminal:
llama cli -hf Puhaha/gemma-2-9b-it-SimPO_q4_k_m: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 Puhaha/gemma-2-9b-it-SimPO_q4_k_m:Q4_K_M# Run inference directly in the terminal:
./build/bin/llama cli -hf Puhaha/gemma-2-9b-it-SimPO_q4_k_m:Q4_K_MUse Docker
docker model run hf.co/Puhaha/gemma-2-9b-it-SimPO_q4_k_m:Q4_K_MQuick Links
Puhaha/gemma-2-9b-it-SimPO_q4_k_m
This model was converted to GGUF format from princeton-nlp/gemma-2-9b-it-SimPO using llama.cpp.
Refer to the original model card for more details on the model.
Enjoy :D
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Model tree for Puhaha/gemma-2-9b-it-SimPO_q4_k_m
Base model
google/gemma-2-9b Finetuned
google/gemma-2-9b-it Finetuned
princeton-nlp/gemma-2-9b-it-SimPO
Install (macOS, Linux)
# Start a local OpenAI-compatible server with a web UI: llama serve -hf Puhaha/gemma-2-9b-it-SimPO_q4_k_m:Q4_K_M# Run inference directly in the terminal: llama cli -hf Puhaha/gemma-2-9b-it-SimPO_q4_k_m:Q4_K_M