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日本語(JA) VRAM 4GBのノートPC向けGPUでも8Bモデルをファインチューニングできるオープンソースツール「Soup」 https:// fed.brid.gy/r/https://gigazine .net/news/20260806-soup-fine-tune-llm/

New open-source tool Soup enables LLM fine-tuning on 4GB VRAM GPUs

An open-source tool named Soup has been released, enabling the fine-tuning of large language models on consumer-grade GPUs with as little as 4GB of VRAM. This is achieved through a technique called "layer streaming," which loads only the necessary parts of the model into VRAM at a time. Developers successfully fine-tuned Meta's Llama 3.1 8B Instruct model using a GeForce RTX 3050 Laptop GPU with 4GB VRAM, demonstrating that complex AI model training is becoming more accessible. AI

IMPACT Lowers the barrier for fine-tuning LLMs, making advanced AI model customization accessible on consumer hardware.

RANK_REASON The release of a tool that lowers the hardware barrier for LLM fine-tuning.

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New open-source tool Soup enables LLM fine-tuning on 4GB VRAM GPUs

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  1. Mastodon — mastodon.social TIER_1 日本語(JA) · [email protected] ·

    Open-source tool "Soup" allows fine-tuning of 8B models even on GPUs with 4GB VRAM in laptops

    VRAM 4GBのノートPC向けGPUでも8Bモデルをファインチューニングできるオープンソースツール「Soup」 https:// fed.brid.gy/r/https://gigazine .net/news/20260806-soup-fine-tune-llm/