Document download-counting metadata and current snapshot
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README.md
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@@ -141,6 +141,21 @@ python3 -m mamba_e8w5.release_generate \
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--repeat --report ./generation-receipt.json
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```
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The loader verifies all 507 decoded base and 224 adapter tensor hashes and always
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installs the soft adapter. Original full-precision weights, Hessians and training
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data are unnecessary. Keep reports outside `release/` and `restored-model/raw/`.
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--repeat --report ./generation-receipt.json
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```
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Alternatively, to download the current `main` snapshot with its Hub metadata, use:
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```sh
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hf download EndlessChasing/Mamba2_3GB_ReCall_Recovered --revision main --local-dir ./model-download
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```
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This includes the root `meta.yaml`. The release-manifest verification above still
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targets `release/`; the fixed-tag command remains the original release recipe.
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The root `meta.yaml` describes this custom-runtime release. Hugging Face uses
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requests to recognized metadata files as a download-counting proxy; these
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statistics do not certify completed model downloads or unique users. Downloads
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that omit this file, including the original release tag, may not contribute to
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the counter. The supplied custom loader is still required.
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The loader verifies all 507 decoded base and 224 adapter tensor hashes and always
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installs the soft adapter. Original full-precision weights, Hessians and training
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data are unnecessary. Keep reports outside `release/` and `restored-model/raw/`.
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