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Unsloth 开源本地训练 Jev 式决策模型教程

用 Unsloth + LoRA 在 4GB 显存上把 Qwen3.5 0.8B 微调成决策模型,三个决策基准准确率从 20.7% 提到 74.3%,附 GitHub 与笔记本。

Unsloth AI
@UnslothAI23 天前收录原推发布于 2026.10.08
Unsloth 开源本地训练 Jev 式决策模型教程
Unsloth AI @UnslothAI原推发布于 2026.10.08
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You can now train your own Decision model like Jev locally! We increased Qwen3.5 0.8B’s aggregate accuracy from 20.7% to 74.3% across 3 decision benchmarks - on just 4GB VRAM. Turn any LLM like Qwen3.8, Gemma 4 into decision models with our open-source Unsloth repo. We fine-tuned with a Clef head using Unsloth and LoRA (r=64) for one epoch, increasing downstream accuracy from 30–37% to 78%. GitHub: https://github.com/unslothai/unsloth Guide and Notebooks: https://unsloth.ai/docs/basics/train-your-own-decision-model-with-unsloth

x.com/unslothai/status/2107868866361930236采集于 2026.10.08 10:07