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Document download-counting metadata and current snapshot

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  1. README.md +15 -0
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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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+
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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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+
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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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+
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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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+
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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/`.