lhl616/qwen3-soft-weight-rkl-20260929-checkpoints
AI model by lhl616
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Separate full-vocabulary distillation study: fullpooluncapped, softsumq80, and softmeanq80 final exports, plus the surviving original softmean FP32 student. This is not a PPO critic experiment. 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…
Read the full model card ↗ · Preview checked 2026-10-28T08:10:52.748Z
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- qwen3softweightrkl20260929 — research checkpoints
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Model overview
lhl616/qwen3-soft-weight-rkl-20260929-checkpoints is a task-unspecified model repository published by lhl616 on Hugging Face. A library was not reported.
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Model facts
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- License
- apache-2.0
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- Not gated by Hugging Face
- Created
- 2026-10-28T06:35:33.000Z
- Last modified
- 2026-10-28T06:41:08.000Z
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Source: Hugging Face Hub. Metadata observed 2026-10-28T06:47:50.589Z. Daily imports are snapshots, not real-time monitoring.
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