| { |
| "release_name": "Swarit Indic Talk", |
| "release_version": "1.0.0", |
| "artifact_format": "safetensors", |
| "artifact_filename": "swarit-indic-talk-v1.safetensors", |
| "hugging_face_repo_id": "Vectornotion/swarit-indic-talk", |
| "artifact": { |
| "bytes": 14344705651, |
| "sha256": "374f556fd18c403b078bddaf6c6b2bb18fcac260b85d7f7a038cd0f947a281f6", |
| "tensor_count": 5768, |
| "verified_object_store_readback": true |
| }, |
| "scope": "weights-only; combined namespaces for selected inference components", |
| "selected_stack_manifest": "model/stack/selected_packages.json", |
| "components": { |
| "asr": { |
| "selection": "Qwen3-ASR 1.7B; 345k continuation epoch 3 / cumulative step 5391; BF16", |
| "license": "Apache-2.0", |
| "upstream_model": "Qwen/Qwen3-ASR-1.7B" |
| }, |
| "tts": { |
| "selection": "Qwen3-TTS V2 epoch 12 / step 26264; BF16 talker/predictor, FP32 codec", |
| "license": "Apache-2.0", |
| "upstream_model": "Qwen/Qwen3-TTS-12Hz-0.6B-Base", |
| "include": [ |
| "main/model.safetensors", |
| "speech_tokenizer/model.safetensors", |
| "voices/female.f32", |
| "voices/male.f32" |
| ], |
| "exclude": [ |
| "speaker-embedding.f32", |
| "reference audio", |
| "speaker encoder" |
| ] |
| }, |
| "response": { |
| "selection": "Gemma 4 E4B epoch 2; selected NF4 base linears, INT4 PLE and unmerged LoRA adapter", |
| "license": "Apache-2.0", |
| "upstream_model": "google/gemma-4-E4B-it" |
| }, |
| "conversation_detector": { |
| "selection": "wav2vec2 XLS-R 300M acoustic epoch 9 + policy head 29", |
| "license": "Apache-2.0", |
| "upstream_model": "facebook/wav2vec2-xls-r-300m" |
| }, |
| "conversation_memory": { |
| "selection": "XLM-R large XNLI pinned encoder plus selected adapter and state heads", |
| "license": "MIT", |
| "upstream_model": "joeddav/xlm-roberta-large-xnli", |
| "upstream_revision": "b227ee8435ceadfa86dc1368a34254e2838bf242" |
| } |
| }, |
| "voice_attribution": { |
| "source": "IISc SYSPIN / LIMMITS24", |
| "license": "CC-BY-4.0", |
| "copyright_notice": "© Indian Institute of Science (IISc), Bengaluru — SYSPIN / SPIRE Lab, LIMMITS corpus", |
| "attribution": "SYSPIN / SPIRE Lab, Indian Institute of Science, Bengaluru — LIMMITS corpus", |
| "modifications": "Selected recordings were edge-trimmed, resampled for speaker encoding, and converted to float32 speaker vectors; the female reference was also peak-normalized to -3 dBFS.", |
| "source_disclaimer": "IISc does not endorse this release. Source material is provided without warranties; see CC BY 4.0 for the full warranty disclaimer and license terms.", |
| "source_material_url": "https://vaani.iisc.ac.in/dataset/syspindataset", |
| "license_url": "https://creativecommons.org/licenses/by/4.0/", |
| "include_audio": false, |
| "include_selected_embeddings": true, |
| "female_embedding_sha256": "1511538fe1b0cdf9e3f1be4a45a3c48ebd4984b9c9c964e4ab8380c7c3b2f6bd", |
| "male_embedding_sha256": "53bae3aaad0d17e0a61eab6c1b6de6917b79b43d486a5f97e74225cf7cb47074" |
| }, |
| "excluded": [ |
| "inference and serving code", |
| "continuous batching, scheduling, orchestration and deployment harness", |
| "tokenizers and runtime configs", |
| "training and evaluation datasets", |
| "raw speaker reference audio", |
| "optimizer state and training checkpoints", |
| "legacy TTS speaker-embedding.f32 (not a currently selected voice)" |
| ], |
| "release_selection": "quantized-20261016" |
| } |
|
|
