Instructions to use PengxinWang/RobustLLMAgent with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
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How to use PengxinWang/RobustLLMAgent with PEFT:
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Add WebShop single-layer FFN Channel-SAM step200 (rho=0.005, cap=0.05)
#1
by Davidk1 - opened
WebShop GiGPO + single-layer FFN Channel-SAM, Qwen2.5-1.5B-Instruct, seed 0, fresh start to step 200.
Intervention: last-layer FFN intermediate channels, rho=0.005, max_abs_delta=0.05, layerwise RMS normalization, activation (BF16) gain arithmetic, clean rollout.
LoRA adapter + tokenizer/config only; FSDP model/optimizer shards are not included.
Internal 128-goal validation at step200: success_rate 0.664, task_score 0.822 (not the official 500-goal evaluation).
PengxinWang changed pull request status to merged