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[Diário de Bordo Maeumjigi Capstone #15] Visualização dos Resultados de 5 Modelos & Configuração do Ambiente Local

· 3 min para ler
Jaybee
AI & Robotics Engineer

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May 7th was the day we synthesized the fine-tuning results of our 5 models (Llama3.3-70B, DSR1-70B, HCX-Omni-8B, Qwen35-9B, HCX-Text-1.5B) and proceeded with full-scale visualization and local environment setup.

[Diário de Bordo Maeumjigi Capstone #13] Limites do Treinamento de 70B & Pivot para Modelos Médios (HCX, Qwen 2.5)

· 3 min para ler
Jaybee
AI & Robotics Engineer

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After experiencing the OOM (Out of Memory) hell during the fine-tuning of massive 70B models, on May 4th, we attempted a bold change in strategy. By drastically reducing the batch size, we barely managed to push the 70B models (Llama3.3, DeepSeek-R1) to checkpoint-1200 and 1300, but the training time was absurdly long, resulting in terrible efficiency.