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architecture-reference

architecture-reference

Explains RWKV-7 tensor shapes, checkpoint export, context-parallel state composition, and RWKV-7/Qwen comparison workflows.

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Skill-Dokumentation

GitHub

name: architecture-reference description: "Explains RWKV-7 tensor shapes, checkpoint export, context-parallel state composition, and RWKV-7/Qwen comparison workflows." disable-model-invocation: true metadata: disco-role: operating license: Apache 2.0

RWKV architecture reference

Use this route when the request is about tensor names, state layout, checkpoint conversion, RWKV-7 versus Qwen3.5 comparisons, or why two implementations do not match numerically.

Route by task

What this route owns

  • RWKV-7 block names, layer/state shapes, and the role of emb.weight, ln0, ln_out, and the per-block attention/FFN tensors.
  • Qwen3.5 text-only export and why vision/MTP tensors are excluded from that export path.
  • The chunk-merging identity used by RWKV-7 context parallelism.
  • Compatibility notes for the legacy v5/v6 code paths when they help explain a shape or naming difference.

What this route does not own

  • Data conversion and magic_prime selection belong to training-data.
  • Prompt/sampling and MMLU evaluation belong to inference-evaluation.
  • ROSA toy experiments belong to rosa-experiments.

Bundled helper

  • scripts/export_qwen_text_state.py accepts a model id or local Hugging Face directory and writes a text-only checkpoint plus metadata file. It is the safe replacement for the repository's checkpoint-export example because it requires explicit output paths and has no hard-coded local checkpoint.

Handoff

Use this route when you need shapes, tensor names, or conversion/composition facts, not when you need to actually train or sample from the model.

Gespeicherte Skills