Publish model-centric DMS asset bundle with upstream provenance

.gitattributes

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README.md

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+---
+license: mit
+pipeline_tag: feature-extraction
+tags:
+  - dms
+  - model-assets
+base_model:
+  - innnky/contentvec
+  - safe-models/ContentVec
+  - lj1995/VoiceConversionWebUI
+---
+
+<!-- dms-model-assets-publish-20261022T0750Z-v7 -->
+
+# ContentVec 768L12
+
+ContentVec feature encoder weights and configuration used by the local RVC pipeline.
+
+## Files and local identity
+
+- `config.json` — 1388 bytes; SHA-256 `2ddde063b795d38d9051a7215a092fecf4cfe148b54251e38de51d88d356898b`
+- `pytorch_model.bin` — 378342945 bytes; SHA-256 `d8dd400e054ddf4e6be75dab5a2549db748cc99e756a097c496c099f65a4854e`
+
+## Upstream copies and provenance
+
+- Related upstream: [innnky/contentvec](https://huggingface.co/innnky/contentvec).
+- Related upstream: [safe-models/ContentVec](https://huggingface.co/safe-models/ContentVec).
+- Related upstream: [lj1995/VoiceConversionWebUI](https://huggingface.co/lj1995/VoiceConversionWebUI).
+- Related upstream: [licyk/rvc-model](https://huggingface.co/licyk/rvc-model).
+- No byte-identical copy for the remaining large local model files was found in the checked upstream trees: innnky/contentvec, safe-models/ContentVec, lj1995/VoiceConversionWebUI, licyk/rvc-model. These links are related sources, not proof of identical bytes.
+
+## License and use
+
+License metadata follows the identified upstream license `mit`. Upstream terms and attribution requirements apply; this repository does not claim ownership of upstream model weights.
+
+## Provenance audit
+
+Generated from local DMS model assets. Audit run: `dms-model-assets-publish-20261022T0750Z-v7`. SHA-256 values identify the local source bytes.

checksums.sha256

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config.json

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+{
+  "activation_dropout": 0.1,
+  "apply_spec_augment": true,
+  "architectures": [
+    "HubertModelWithFinalProj"
+  ],
+  "attention_dropout": 0.1,
+  "bos_token_id": 1,
+  "classifier_proj_size": 256,
+  "conv_bias": false,
+  "conv_dim": [
+    512,
+    512,
+    512,
+    512,
+    512,
+    512,
+    512
+  ],
+  "conv_kernel": [
+    10,
+    3,
+    3,
+    3,
+    3,
+    2,
+    2
+  ],
+  "conv_stride": [
+    5,
+    2,
+    2,
+    2,
+    2,
+    2,
+    2
+  ],
+  "ctc_loss_reduction": "sum",
+  "ctc_zero_infinity": false,
+  "do_stable_layer_norm": false,
+  "eos_token_id": 2,
+  "feat_extract_activation": "gelu",
+  "feat_extract_norm": "group",
+  "feat_proj_dropout": 0.0,
+  "feat_proj_layer_norm": true,
+  "final_dropout": 0.1,
+  "hidden_act": "gelu",
+  "hidden_dropout": 0.1,
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-05,
+  "layerdrop": 0.1,
+  "mask_feature_length": 10,
+  "mask_feature_min_masks": 0,
+  "mask_feature_prob": 0.0,
+  "mask_time_length": 10,
+  "mask_time_min_masks": 2,
+  "mask_time_prob": 0.05,
+  "model_type": "hubert",
+  "num_attention_heads": 12,
+  "num_conv_pos_embedding_groups": 16,
+  "num_conv_pos_embeddings": 128,
+  "num_feat_extract_layers": 7,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "torch_dtype": "float32",
+  "transformers_version": "4.27.3",
+  "use_weighted_layer_sum": false,
+  "vocab_size": 32
+}

pytorch_model.bin

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