A reasoning-enhanced Gemma-4 model distilled from Claude Opus 4.5/4.6 chain-of-thought data This model is a fine-tuned version of Google’s Gemma-4-E4B (4 billion parameters) specifically optimized for step-by-step reasoning and problem-solving tasks. It has been trained on high-quality chain-of-thought reasoning data distilled from Claude Opus 4.5 and 4.6, Anthropic’s most capable reasoning models. — 🎯 Enhanced Reasoning: Trained on curated Opus reasoning traces for improved logical thinking — 💭 Thinking Blocks: Uses … format for transparent reasoning — 📊 Mathematical Excellence: Strong performance on math and quantitative problems — 🔧 Efficient: 4B parameters — runs on consumer GPUs (8GB+ VRAM) — ⚡ Fast: Optimized with Unsloth for 2x faster inference — Model: unsloth/gemma-4-E4B-it (Google Gemma-4 4B Instruct) — Architecture: Transformer decoder-only — Parameters: 4 billion (42.4M trainable with LoRA) This model was trained on 4,736 high-quality reasoning examples from three carefully cura
Модальности:
Генерация текста
Области применения:
Логика и рассуждение Диалог / чат
Задача: Генерация текста
Автор: Ayodele01
Теги: gemma4, fine-tuned, reasoning, opus, claude, anthropic, chain-of-thought, unsloth
Лайков: 3 | Загрузок: 0
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
