Duplicate from Vectornotion/swarit-indic-talk-mascot-language-staging

.gitattributes

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+*.safetensors filter=lfs diff=lfs merge=lfs -text
+assets/swarit-indic-talk-cover.png filter=lfs diff=lfs merge=lfs -text
+assets/swarit-indic-talk-cover.webp filter=lfs diff=lfs merge=lfs -text

LICENSES/Apache-2.0.txt

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LICENSES/NOTICE.md

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+Third-party license and attribution notices
+============================================
+
+The combined weights contain components with different licenses. The Hugging
+Face model card records the component-to-license mapping and links to each
+upstream source.
+
+- Qwen3-ASR, Qwen3-TTS, Gemma 4, and wav2vec2 XLS-R: Apache-2.0. The license
+  text is in `Apache-2.0.txt`.
+- joeddav/xlm-roberta-large-xnli: upstream model metadata declares MIT. The
+  upstream repository does not publish a separate LICENSE file; see its model
+  card at https://huggingface.co/joeddav/xlm-roberta-large-xnli.
+- Selected speaker embeddings derive from the IISc SYSPIN / LIMMITS24 corpus.
+  Copyright and attribution: © Indian Institute of Science (IISc), Bengaluru —
+  SYSPIN / SPIRE Lab, LIMMITS corpus. Source material:
+  https://vaani.iisc.ac.in/dataset/syspindataset. License: CC BY 4.0,
+  https://creativecommons.org/licenses/by/4.0/.
+  The included items are modified derivatives (speaker vectors), not source
+  recordings. The selected recordings were edge-trimmed, resampled for speaker
+  encoding, and converted to float32 vectors. The female source was also
+  peak-normalized to −3 dBFS; the male source was not gain-adjusted. No raw
+  reference audio is included. IISc does not endorse this release. The source
+  material is provided without warranties; see the linked license for its
+  warranty disclaimer and full terms.
+
+The included speaker vectors are not original recordings. Their source audio
+is not part of this release. No single license is asserted for the combined
+artifact; each component retains its applicable upstream terms.

README.md

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+---
+license: other
+language:
+  - as
+  - bn
+  - en
+  - gu
+  - hi
+  - kn
+  - ml
+  - mr
+  - or
+  - pa
+  - ta
+  - te
+tags:
+  - speech-to-speech
+  - voice-conversation
+  - multilingual
+  - indic
+  - india
+thumbnail: https://huggingface.co/Vectornotion/swarit-indic-talk/resolve/main/assets/swarit-indic-talk-cover.webp
+---
+
+[![The Swarit elephant mascot listens between Hindi and Tamil greetings](assets/swarit-indic-talk-cover.webp)](https://swarit.ai/)
+
+# Swarit Indic Talk
+
+## The best voice-to-voice model for Indic languages.
+
+Swarit Indic Talk makes voice the natural way to have a conversation. Speak in your language, let Swarit follow what you mean, and hear the reply spoken back. Built for conversations across India—in homes, clinics, shops, classrooms, and customer support.
+
+[**Visit Swarit.ai**](https://swarit.ai/) · [**Download Swarit Indic Talk**](./swarit-indic-talk-v1.safetensors)
+
+## A voice-to-voice experience across 12 languages
+
+Swarit Indic Talk brings spoken conversation to eleven Indian languages—Assamese, Bengali, Gujarati, Hindi, Kannada, Malayalam, Marathi, Odia, Punjabi, Tamil, and Telugu—and English. People can begin in the language they are comfortable speaking and hear the conversation continue in voice.
+
+### Language communities, one conversational model
+
+- **East and Northeast:** Assamese, Bengali, and Odia bring voice conversations to communities across Assam, West Bengal, Tripura, and Odisha.
+- **North:** Hindi and Punjabi support spoken exchanges across Hindi- and Punjabi-speaking communities.
+- **West:** Gujarati and Marathi extend voice conversations across Gujarat and Maharashtra.
+- **South:** Kannada, Malayalam, Tamil, and Telugu bring the experience to communities across Karnataka, Kerala, Tamil Nadu, Andhra Pradesh, and Telangana.
+- **English:** English is included for multilingual conversations and for people who prefer to speak in English.
+
+The language names below are shown in their native forms, alongside the writing systems associated with them.
+
+| Language | Native name | Writing system |
+| --- | --- | --- |
+| Assamese | অসমীয়া | Assamese |
+| Bengali | বাংলা | Bengali |
+| English | English | Latin |
+| Gujarati | ગુજરાતી | Gujarati |
+| Hindi | हिन्दी | Devanagari |
+| Kannada | ಕನ್ನಡ | Kannada |
+| Malayalam | മലയാളം | Malayalam |
+| Marathi | मराठी | Devanagari |
+| Odia | ଓଡ଼ିଆ | Odia |
+| Punjabi | ਪੰਜਾਬੀ | Gurmukhi |
+| Tamil | தமிழ் | Tamil |
+| Telugu | తెలుగు | Telugu |
+
+## Voice in. Conversation out.
+
+Swarit brings the full conversational experience together: it listens to spoken input, follows the exchange, and answers in speech. The result is voice-to-voice interaction that feels direct and familiar—without making people adapt to a text-first interface.
+
+Use Swarit for the conversations that move everyday life forward: booking an appointment, asking about an order, getting help from a business, or finding the next step in an application.
+
+## See Swarit in action
+
+[**Watch the appointment conversation**](https://swarit.ai/demos/recorded/appointment.mp4?v=a6c40630201f) · [**Explore Swarit**](https://swarit.ai/)
+
+## Download
+
+[Download the Swarit Indic Talk model weights](./swarit-indic-talk-v1.safetensors).
+
+## License and attribution
+
+Third-party license and source attribution details are in [`LICENSES/NOTICE.md`](LICENSES/NOTICE.md).

manifest.json

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+  "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": {
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+    "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"
+}

swarit-indic-talk-v1.safetensors

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