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novastar111/pusht_cot_chunk_k3_world_model
pusht_cot_chunk_k3_world_model is a machine learning model from novastar111. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as cc-by-nc-4.0.
BAGEL-7B-MoT world-model SFT checkpoint (EMA weights only, raw fp32).
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Updated Aug 20, 2026
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From the Hugging Face model README
BAGEL-7B-MoT world-model SFT checkpoint (EMA weights only, raw fp32).
ema-XXXXX-of-00002.safetensors)
plus ema.safetensors.index.json (fp32 exceeds the 50GB single-file limit). Optimizer state NOT
included — for inference / eval, not resume.This is an SFT delta on the public BAGEL-7B-MoT base. Load the base config / tokenizer / VAE / ViT
from BAGEL-7B-MoT together with these EMA weights; point the loader at the repo folder (or its
ema.safetensors.index.json) and it assembles the shards, e.g. with the eval runners:
--bagel-path <this repo> --bagel-base-path <BAGEL-7B-MoT>.
Image transforms (pusht): VAE 256/256, ViT 224/224, JPEG q90, 96px render (norm4 action space). Prompt is stop-required; CoT is all-step interleaved.