How to use from
llama.cpp
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Robochopacho/Ubermensch-Gemma-4-E4B-MPI-Q4_K_M-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Robochopacho/Ubermensch-Gemma-4-E4B-MPI-Q4_K_M-GGUF:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Robochopacho/Ubermensch-Gemma-4-E4B-MPI-Q4_K_M-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Robochopacho/Ubermensch-Gemma-4-E4B-MPI-Q4_K_M-GGUF:Q4_K_M
Use pre-built binary
# 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 Robochopacho/Ubermensch-Gemma-4-E4B-MPI-Q4_K_M-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf Robochopacho/Ubermensch-Gemma-4-E4B-MPI-Q4_K_M-GGUF:Q4_K_M
Build from source code
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 Robochopacho/Ubermensch-Gemma-4-E4B-MPI-Q4_K_M-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Robochopacho/Ubermensch-Gemma-4-E4B-MPI-Q4_K_M-GGUF:Q4_K_M
Use Docker
docker model run hf.co/Robochopacho/Ubermensch-Gemma-4-E4B-MPI-Q4_K_M-GGUF:Q4_K_M
Quick Links

Übermensch — Gemma 4 E4B · МПИ

Gemma 4 E4B (OBLITERATED) fine-tuned with LoRA (rank 32 / alpha 64) on the Übermensch combined corpus: cold-mirror editorial voice (weekly-review / daily / journal / recommendation)

  • Progressive Incorporation skill-learning (instruction-authoring / progression-rung / instruction-dialogue). Q4_K_M GGUF for on-device use in the Übermensch iOS app.
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Model size
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Architecture
gemma4
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