vanpelt/summarizer

summarizer

Fine-tuned Gemma-3-270M for task summarization and branch naming

Model Details

• —Base Model: google/gemma-3-270m-it
• —Format: GGUF (quantized for efficient inference)
• —Quantization: Q4KM
• —Use Case: Generating concise task titles and git branch names

Training

• —Training Run: https://wandb.ai/vanpelt/summarizer/runs/0t4lcgpb

Usage

With Ollama

ollama pull hf.co/vanpelt/summarizer
ollama run hf.co/vanpelt/summarizer

With llama.cpp

# Download the GGUF file
huggingface-cli download vanpelt/summarizer gemma3-270m-summarizer-Q4_K_M.gguf

# Run with llama.cpp
./main -m gemma3-270m-summarizer-Q4_K_M.gguf -p 'Your prompt here'

Files

• —tokenizer.json (31.8 MB)
• —tokenizer_config.json (1.1 MB)
• —added_tokens.json (0.0 MB)
• —chat_template.jinja (0.0 MB)
• —Modelfile (0.0 MB)
• —template (0.0 MB)
• —system (0.0 MB)
• —model.safetensors (511.4 MB)
• —gemma3-270m-summarizer-Q4_K_M.gguf (241.4 MB)
• —special_tokens_map.json (0.0 MB)
• —config.json (0.0 MB)
• —params (0.0 MB)
• —tokenizer.model (4.5 MB)