jevIMAGE
微调 Qwen3.5-4B 复刻 Jev 决策模型
用 Unsloth 单卡 A100 跑 15 分钟 QLoRA,只训 2.1% 参数,在 typed-decisions 评测集上准确率从 30% 提到 80%。
Alok
@analogalok20 天前收录原推发布于 2026.10.10

Alok @analogalok原推发布于 2026.10.10
Finetuned Qwen3.5-4B into a decision model like Jev using @UnslothAI. - 4-bit QLoRA, bf16, single A100, 15 min. - Train/val loss flatten after 2 epochs so most of the learning happens fast. - Trained just 64.5M params (2.1%) - accuracy jumps 30% -> 80% after 4 epochs on LocalLLaMA/typed-decisions eval dataset What should i try next?
这条是引用着另一条写的:「Unsloth 开源本地训练 Jev 式决策模型教程」
x.com/analogalok/status/2108921475780722776采集于 2026.10.11 10:06