How to use from
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docker model run hf.co/Ashraya/gemma-270m-legal-gguf
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Gemma 3 270M - Legal Auto-Completion (GGUF)

Fine-tuned Gemma 3 270M for legal text auto-completion, optimized for client-side browser deployment.

Model Details

  • Format: GGUF (Q4_K_M quantization with Q5_0 fallback)
  • Size: ~169 MB
  • Optimized for: Wllama (WebAssembly) browser inference

Usage with llama.cpp

./llama-cli -m gemma-270m-q4km-optimized.gguf -p "The court held that" -n 30

Usage with Wllama (Browser)

import { Wllama } from '@wllama/wllama';

const CONFIG_PATHS = {
    'single-thread/wllama.wasm': 'path/to/single-thread/wllama.wasm',
    'multi-thread/wllama.wasm': 'path/to/multi-thread/wllama.wasm',
};

const wllama = new Wllama(CONFIG_PATHS);
await wllama.loadModelFromHF(
    'Ashraya/gemma-270m-legal-gguf',
    'gemma-270m-q4km-optimized.gguf'
);

const result = await wllama.createCompletion('The court held that', {
    nPredict: 20,
    sampling: { temp: 0.3, top_p: 0.95 }
});
console.log(result);

Files

  • gemma-270m-q4km-optimized.gguf - Main model file (~169MB)
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