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Qwen3.8-27B DSpark Drafters — FP8_BLOCK (dummy layer sweep)
Dummy FP8_BLOCK DSpark drafters (5/15/30 layers) cycled from the 5-layer base. For size/latency experiments only.
Don't Stop LCCP!
Model checkpoints trained with varying LCCP token budgets, paper: “Don't Stop Long-Context Continual Pre-Training Too Early: An Empirical Scaling Law”
Qwen3.8-27B DSpark Drafters — BF16 (dummy layer sweep)
Dummy BF16 DSpark drafters (5/15/30 layers) cycled from the 5-layer base. For size/latency experiments only.
SO-101 课程模型与数据（具身智能 21 讲）
第 10、12 讲用到的 SO-101 模型与仿真数据集：ACT、π0、SmolVLA，全参与 LoRA，真机与仿真混训。
Qwen3.8-27B DSpark Drafters — FP8_BLOCK (dummy layer sweep)
Dummy FP8_BLOCK DSpark drafters (5/15/30 layers) cycled from the 5-layer base. For size/latency experiments only.
Qwen3.8-27B DSpark Drafters — BF16 (dummy layer sweep)
Dummy BF16 DSpark drafters (5/15/30 layers) cycled from the 5-layer base. For size/latency experiments only.
Don't Stop LCCP!
Model checkpoints trained with varying LCCP token budgets, paper: “Don't Stop Long-Context Continual Pre-Training Too Early: An Empirical Scaling Law”
SO-101 课程模型与数据（具身智能 21 讲）
第 10、12 讲用到的 SO-101 模型与仿真数据集：ACT、π0、SmolVLA，全参与 LoRA，真机与仿真混训。