Pygame specialization
According to the model card, the model is specialized in generating hyper-casual video-game code with the Pygame library.
Open Source Model Profile · RAANA-IA
Gamia-pygame-v1 is a 1.10B-parameter Llama text-generation model from RAANA-IA. According to the model card, it is specialized for hyper-casual Pygame code generation with direct game logic.
Gamia-pygame-v1 is published by RAANA-IA as a Transformers text-generation model. The captured configuration identifies LlamaForCausalLM with llama model type, and Safetensors metadata reports 1,100,048,384 parameters. According to the model card, it is a full-fine-tuning lineage specialized in Pygame hyper-casual game code and immediate functional code.
According to the model card, the model is specialized in generating hyper-casual video-game code with the Pygame library.
Safetensors metadata reports 1,100,048,384 parameters with LlamaForCausalLM architecture and llama model type.
According to the model card, fine-tuning used 2000 specialized Q/A pairs focused on single-mechanic game mechanics.
Source: RAANA-IA/Gamia-pygame-v1
Captured: Unknown. Processed: 2026-09-07T19:35:51.463855+00:00.
🕹️ Gamia-pygame-v1 : Documentation Officielle Gamia-pygame-v1 est un modèle de langage spécialisé dans la génération de code de jeux vidéo "Hyper-Casual" utilisant la bibliothèque Pygame. Issu d'un lignage d'itérations de full-fine-tuning, il privilégie la logique de jeu directe et le code fonctionnel immédiat. 🚀 Spécifications Techniques Lignage : 2ème génération (Base : Pite12-coder). Architecture : Optimisée pour la prédiction de structures logiques Python. Dataset d'affinage : 2000 paires de Q/A spécialisées en mécaniques de jeu mono-mecanique. 🛠️ Capacités de Génération Le modèle excelle dans la création de scripts autonomes…
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