Add model card with metadata

README.md

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+---
+language:
+  - en
+license: apache-2.0
+tags:
+  - text-generation
+  - gguf
+  - gemma
+  - summarization
+base_model: google/gemma-3-270m-it
+model_type: gemma
+---
+
+# catnip-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/jh27ahps](https://wandb.ai/vanpelt/summarizer/runs/jh27ahps)
+
+## Usage
+
+### With Ollama
+
+```bash
+ollama pull hf.co/vanpelt/catnip-summarizer
+ollama run hf.co/vanpelt/catnip-summarizer
+```
+
+### With llama.cpp
+
+```bash
+# Download the GGUF file
+huggingface-cli download vanpelt/catnip-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)