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junbrro/egopi-mt-arm2tokenizer-axis2-full-30k-actsilu-mlxp-20260923
egopi-mt-arm2tokenizer-axis2-full-30k-actsilu-mlxp-20260923 is a machine learning model from junbrro. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Final step: 30000. Source: junhyeong-mt-arm2tok-slot41-a2-full-30k-260922-r1.
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From the Hugging Face model README
Final step: 30000. Source: junhyeong-mt-arm2tok-slot41-a2-full-30k-260922-r1.
Final model weights and configuration only; optimizer/RNG state excluded. Original configuration is preserved, including source-cluster paths. Remap paths before use. Bundled actlat/ contains the action tokenizer when applicable.
Multi-group MT checkpoint fine-tuned with Arm-II-specific Robot BBT + Human Open/Close tokenizer in NEW slot 41 (mt_openarm_arm2_prq15). Cog adapter HID=256, activation SiLU. Remap source paths to bundled actlat/. Preserve contract hashes; do not recalculate normalization. Language condition: persistent full tokens.