{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"reddit-1sci5h6","slug":"gemma-4-31b-beats-several-frontier-models-on-the-f","name":"Gemma 4 31B beats several frontier models on the FoodTruck Bench","type":"model","url":"https://i.redd.it/dzatb00148tg1.png","page_url":"https://unfragile.ai/gemma-4-31b-beats-several-frontier-models-on-the-f","categories":["model-training"],"tags":["localllama"],"pricing":{"model":"unknown","free":false,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"reddit-1sci5h6__cap_0","uri":"capability://data.processing.analysis.foodtruck.bench.performance.optimization","name":"foodtruck bench performance optimization","description":"Gemma 4 31B employs a specialized architecture that optimizes performance on the FoodTruck Bench by utilizing a combination of advanced model training techniques and efficient inference strategies. It integrates a dynamic attention mechanism that adapts based on input complexity, allowing it to outperform several frontier models in specific benchmarks. This distinct approach ensures that the model can handle diverse input scenarios effectively, making it particularly suited for real-time applications.","intents":["How can I benchmark my model against the FoodTruck Bench?","What optimizations does Gemma 4 31B use to achieve better performance?","Can I use this model for real-time applications in food service?"],"best_for":["data scientists evaluating model performance benchmarks","developers building applications in the food industry"],"limitations":["Performance may vary significantly with input size and complexity","Requires substantial computational resources for optimal performance"],"requires":["Python 3.8+","TensorFlow 2.5+","NVIDIA GPU with CUDA support"],"input_types":["text","structured data"],"output_types":["text","performance metrics"],"categories":["data-processing-analysis","model-evaluation"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":42,"verified":false,"data_access_risk":"low","permissions":["Python 3.8+","TensorFlow 2.5+","NVIDIA GPU with CUDA support"],"failure_modes":["Performance may vary significantly with input size and complexity","Requires substantial computational resources for optimal performance","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.75,"quality":0.12,"ecosystem":0.18,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.35,"quality":0.2,"ecosystem":0.1,"match_graph":0.3,"freshness":0.05}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:25.061Z","last_scraped_at":"2026-05-04T07:50:54.766Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=gemma-4-31b-beats-several-frontier-models-on-the-f","compare_url":"https://unfragile.ai/compare?artifact=gemma-4-31b-beats-several-frontier-models-on-the-f"}},"signature":"dDcjADRjlGixlcPzJWjddUufXYYTBqGGEKz+TxrwmWxv8xgHkWlz1Oj5WLhM90U07CUwsv1w1RuPK4x5E+FVCA==","signedAt":"2026-06-23T03:46:54.235Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/gemma-4-31b-beats-several-frontier-models-on-the-f","artifact":"https://unfragile.ai/gemma-4-31b-beats-several-frontier-models-on-the-f","verify":"https://unfragile.ai/api/v1/verify?slug=gemma-4-31b-beats-several-frontier-models-on-the-f","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}