lhl616/qwen3-ppo-base-20261003-checkpoints

AI model by lhl616

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Early PPO pilot and production checkpoints at step 20. These configurations differ from the later PPO300 baseline. Original model shards retain their original precision and bytes. Existing safetensors exports are separate derivatives; a BF16 export is not a byte-identical replacement for an FP32 source. Files are arranged by experiment and checkpoint, so the repository root is not a single Transformers frompretrained model. Actor FSDP checkpoints require all four modelworldsize4rank.pt shards and compatible PyTorch/VERL loading or merge utilities. The huggingface/ subdirectory contains configuration/tokenizer metadata, not merged weights. Critics are token-value models, not ordinary causal language models: native critics use a scalar value head. In HL-Gauss, the head has 101 logits over bins spanning [-1.2, 1.2], with centers -1.2 + (i+0.5)2.4/101; compute values as the FP32 softmax-weighted mean of those centers. Gaussian targets use sigma 0.752.4/101. The categorical archive includes the original small mathematical reference implementation, which depends on the original VERL…

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  1. qwen3ppobase20261003 — research checkpoints
  2. Contents
  3. Loading and limitations
  4. Publication scope
  5. Interpretation and attribution

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Model overview

lhl616/qwen3-ppo-base-20261003-checkpoints is a task-unspecified model repository published by lhl616 on Hugging Face. A library was not reported.

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Recent downloads (30 days)
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License
apache-2.0
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Not gated by Hugging Face
Created
2026-10-28T06:22:06.000Z
Last modified
2026-10-28T06:35:32.000Z

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