Document tracked RouteFM downloads
Browse files- README.md +2 -0
- manifest.json +4 -2
README.md
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@@ -61,6 +61,8 @@ Each variant contains a canonical `model.safetensors` and `config.json`.
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The `legacy/` directory contains the exact PyTorch checkpoint bytes from the
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GitHub v1.0.0 release. [`manifest.json`](manifest.json) records sizes,
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configurations, immutable revisions, and SHA-256 digests.
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The query encoders are frozen external feature extractors. They are not
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included in this repository, and RouteFM is not a fine-tune of either encoder.
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The `legacy/` directory contains the exact PyTorch checkpoint bytes from the
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GitHub v1.0.0 release. [`manifest.json`](manifest.json) records sizes,
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configurations, immutable revisions, and SHA-256 digests.
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The root [`config.json`](config.json) indexes both variants and is the standard
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Hugging Face query file used for repository download statistics.
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The query encoders are frozen external feature extractors. They are not
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included in this repository, and RouteFM is not a fine-tune of either encoder.
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manifest.json
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@@ -22,8 +22,10 @@
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},
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"hub": {
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"repository": "AIGNLAI/RouteFM",
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"artifact_revision": "
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"
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},
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"training": "one continuous 10,000-step random-initialization run per encoder",
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"encoders": {
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},
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"hub": {
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"repository": "AIGNLAI/RouteFM",
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"artifact_revision": "c9992e6bcfd11f0cb3e14033808d0e852fdc2c74",
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"repository_config": "config.json",
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"repository_config_sha256": "fcceac6c349d0c1126310ea2e6b1fc6f5c581d3aa5c5c9fbb2a9d0a1c9e2458a",
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"model_tag": "model-v1.0.1"
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},
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"training": "one continuous 10,000-step random-initialization run per encoder",
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"encoders": {
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