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vanpelt/
summarizer

Name: summarizer
Rating: 2.5 (25 reviews)

google/gemma-3-270m-it

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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: Q4_K_M
Use Case: Generating concise task titles and git branch names

Training

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

Usage

With Ollama

bash

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

With llama.cpp

bash

# 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)