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Shiki42/0420_0423screw_c + Shiki42/0420_0423screw_critical_c at 1:1).model.safetensors (root) — pi0.5 VLA (cotrained, ~3.6 B params bf16, ~14.5 GB)rlt/model.safetensors — RL Token (cotrained, ~256 M params fp32, ~1 GB)1from lerobot.policies.pi05.modeling_pi05 import PI05Policy
2from lerobot.policies.rlt.modeling_rlt_token import RLTokenPolicy
3from lerobot.policies.rlt.configuration_rlt_token import RLTokenPolicyConfig
4from huggingface_hub import snapshot_download
5
6# Download both halves to the same local dir, set vla_pretrained_path to the
7# root of that dir, and load the RLT from the rlt/ subfolder.
8local = snapshot_download("Shiki42/0520_pi0.5screw_rlt_cotrain_c", repo_type="model")
9vla = PI05Policy.from_pretrained(local)
10cfg = RLTokenPolicyConfig.from_pretrained(local + "/rlt")
11cfg.vla_pretrained_path = local
12rlt = RLTokenPolicy.from_pretrained(local + "/rlt", config=cfg)Shiki42/pi05_screw_c_mix_20k (20k-step continued SFT of pi0.5).Shiki42/rlt_token_mix_c4_15k (15k-step joint with the SFT baseline).rl_token_lr=3e-4, vla_lr=1e-5, vla_ft_weight=1.0, norm_gamma=0.5,
batch 16, 1:1 mixed screw_c + screw_critical_c). Stopped early on the
rolling-1000 average of loss_recon returning to ≤0.215 (the 15k cotrain floor).