Petuh 2.0
Collection
2 items β’ Updated
How to use RaspizdAI/petuh-2.0-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 RaspizdAI/petuh-2.0-gguf:Q4_K_M # Run inference directly in the terminal: llama cli -hf RaspizdAI/petuh-2.0-gguf:Q4_K_M
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf RaspizdAI/petuh-2.0-gguf:Q4_K_M # Run inference directly in the terminal: llama cli -hf RaspizdAI/petuh-2.0-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 RaspizdAI/petuh-2.0-gguf:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf RaspizdAI/petuh-2.0-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 RaspizdAI/petuh-2.0-gguf:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf RaspizdAI/petuh-2.0-gguf:Q4_K_M
docker model run hf.co/RaspizdAI/petuh-2.0-gguf:Q4_K_M
How to use RaspizdAI/petuh-2.0-gguf with Ollama:
ollama run hf.co/RaspizdAI/petuh-2.0-gguf:Q4_K_M
How to use RaspizdAI/petuh-2.0-gguf with Docker Model Runner:
docker model run hf.co/RaspizdAI/petuh-2.0-gguf:Q4_K_M
How to use RaspizdAI/petuh-2.0-gguf with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull RaspizdAI/petuh-2.0-gguf:Q4_K_M
lemonade run user.petuh-2.0-gguf-Q4_K_M
lemonade list
The fastest lightweight reasoning model trained from scratch on 4.72B tokens and fine-tuned on pure entropy.
| Benchmark | Score |
|---|---|
| AIME 2025 | 0.0 |
| HLE | 0.0 |
| Terminal bench 2.1 | 0.0 |
| SWE Bench verified | 0.0 |
3-bit
4-bit
5-bit
6-bit
8-bit
16-bit