AceMath: Advancing Frontier Math Reasoning with Post-Training and Reward Modeling
Paper • 2412.15084 • Published • 13
How to use redponike/AceMath-72B-Instruct-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 redponike/AceMath-72B-Instruct-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf redponike/AceMath-72B-Instruct-GGUF:Q4_K_M
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf redponike/AceMath-72B-Instruct-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf redponike/AceMath-72B-Instruct-GGUF:Q4_K_M
# 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 redponike/AceMath-72B-Instruct-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf redponike/AceMath-72B-Instruct-GGUF:Q4_K_M
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 redponike/AceMath-72B-Instruct-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf redponike/AceMath-72B-Instruct-GGUF:Q4_K_M
docker model run hf.co/redponike/AceMath-72B-Instruct-GGUF:Q4_K_M
How to use redponike/AceMath-72B-Instruct-GGUF with Ollama:
ollama run hf.co/redponike/AceMath-72B-Instruct-GGUF:Q4_K_M
How to use redponike/AceMath-72B-Instruct-GGUF with Docker Model Runner:
docker model run hf.co/redponike/AceMath-72B-Instruct-GGUF:Q4_K_M
How to use redponike/AceMath-72B-Instruct-GGUF with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull redponike/AceMath-72B-Instruct-GGUF:Q4_K_M
lemonade run user.AceMath-72B-Instruct-GGUF-Q4_K_M
lemonade list
GGUF quants of nvidia/AceMath-72B-Instruct
Using llama.cpp b4682 (commit 0893e0114e934bdd0eba0ff69d9ef8c59343cbc3)
The importance matrix was generated with groups_merged-enhancedV3.txt by InferenceIllusionist (later renamed calibration_datav3.txt), an edited version of kalomaze's original groups_merged.txt.
All quants were generated/calibrated with the imatrix, including the K quants.
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