Instructions to use rajarshisomvanshi/gemma-3-1b-answer-checker with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use rajarshisomvanshi/gemma-3-1b-answer-checker with 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 rajarshisomvanshi/gemma-3-1b-answer-checker:Q4_K_M # Run inference directly in the terminal: llama cli -hf rajarshisomvanshi/gemma-3-1b-answer-checker:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf rajarshisomvanshi/gemma-3-1b-answer-checker:Q4_K_M # Run inference directly in the terminal: llama cli -hf rajarshisomvanshi/gemma-3-1b-answer-checker: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 rajarshisomvanshi/gemma-3-1b-answer-checker:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf rajarshisomvanshi/gemma-3-1b-answer-checker: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 rajarshisomvanshi/gemma-3-1b-answer-checker:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf rajarshisomvanshi/gemma-3-1b-answer-checker:Q4_K_M
Use Docker
docker model run hf.co/rajarshisomvanshi/gemma-3-1b-answer-checker:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use rajarshisomvanshi/gemma-3-1b-answer-checker with Ollama:
ollama run hf.co/rajarshisomvanshi/gemma-3-1b-answer-checker:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use rajarshisomvanshi/gemma-3-1b-answer-checker with Docker Model Runner:
docker model run hf.co/rajarshisomvanshi/gemma-3-1b-answer-checker:Q4_K_M
- Lemonade
How to use rajarshisomvanshi/gemma-3-1b-answer-checker with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull rajarshisomvanshi/gemma-3-1b-answer-checker:Q4_K_M
Run and chat with the model
lemonade run user.gemma-3-1b-answer-checker-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Gemma 3 1B Instruct (Q4_K_M GGUF) โ Answer Checker
Quantized Gemma 3 1B Instruct used by the Offline Answer Evaluation Engine (Dextora). Runs on-device via llama.cpp. ~769 MB (under 1 GB).
Used by the Phone-LLM service in dextora_micro_services. The backend
downloads this file at startup. See that repo for the API and Flutter
integration guide.
File: gemma-3-1b-it-Q4_K_M.gguf
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