Public release: attribution required under CC-BY-NC-4.0; drop planned-retrain wording
37a22c3 verified | AksharaLP-MultiIndic-8M — Sourojit Dhua, 2026 | |
| https://huggingface.co/sourojitdotcom/AksharaLP-MultiIndic-8M | |
| Combined model-card licence: CC-BY-NC-4.0. NON-COMMERCIAL RELEASE. ATTRIBUTION REQUIRED. | |
| ATTRIBUTION REQUIRED | |
| Any use of this model, the demo, a derivative, or a redistribution — including research and demos — must credit Sourojit Dhua (sourojitdotcom) and link to the model page: | |
| https://huggingface.co/sourojitdotcom/AksharaLP-MultiIndic-8M | |
| CC-BY-NC-4.0 requires attribution and forbids commercial use. | |
| Ready-to-copy credit line: | |
| AksharaLP-MultiIndic-8M by Sourojit Dhua (sourojitdotcom) — https://huggingface.co/sourojitdotcom/AksharaLP-MultiIndic-8M | |
| BibTeX: | |
| @misc{dhua_aksharalp_multiindic_8m_2026, | |
| author = {Sourojit Dhua}, | |
| title = {AksharaLP-MultiIndic-8M}, | |
| year = {2026}, | |
| url = {https://huggingface.co/sourojitdotcom/AksharaLP-MultiIndic-8M} | |
| } | |
| The new Bengali/Telugu/Kannada/Tamil weights include Samanantar-derived Aksharantar rows. The upstream Samanantar card specifies CC-BY-NC-4.0; other publisher pages describe CC0 packaging. This release does not certify those weights as commercially clean. Preserve source attributions and applicable upstream terms. Selecting CC-BY-NC does not resolve all derivative-rights questions. | |
| Original Hindi word/sentence components and runtime code retain Apache-2.0 and their existing notices. They are independently available at: | |
| https://huggingface.co/sourojitdotcom/AksharaLP-1M-v2 | |
| https://huggingface.co/sourojitdotcom/AksharaLP-Sentence-2.8M | |
| Attributions: | |
| Aksharantar — AI4Bharat, Madhani et al. (2022), CC0 mined/existing packaging and CC-BY manual data. | |
| Samanantar — AI4Bharat, Ramesh et al. (2022), upstream card CC-BY-NC-4.0. | |
| Dakshina — Google Research, Roark et al., Processing South Asian Languages Written in the Latin Script, LREC 2020, https://github.com/google-research-datasets/dakshina ; CC-BY-SA-4.0 https://creativecommons.org/licenses/by-sa/4.0/ . Source-attributed training pairs appear inside Aksharantar. Retain the upstream terms. | |
| IndicCorp v2 — AI4Bharat, Doddapaneni et al. (ACL 2023), CC0. Dictionaries and Hindi LM training. | |
| IndicXlit — AI4Bharat, MIT. Distillation teacher and comparison model, not redistributed. | |
| Inter and Noto Sans Indic fonts in the Space — SIL Open Font License 1.1 (included beside each font). | |
| For the unchanged Hindi components, retain the following original notice as well: | |
| AksharaLP-Sentence-2.8M by Sourojit Dhua | |
| https://huggingface.co/sourojitdotcom/AksharaLP-Sentence-2.8M | |
| Copyright 2026 Sourojit Dhua | |
| AksharaLP-Sentence-2.8M is licensed under the Apache License, Version 2.0 (see LICENSE). | |
| Commercial use is permitted. | |
| What is in here | |
| * The v2 word model: a 989K-parameter character Transformer, its reranker, the dictionary pack | |
| (lexicon + word-bigram language model) and the JavaScript/Python runtime, unchanged from | |
| AksharaLP-1M-v2 (https://huggingface.co/sourojitdotcom/AksharaLP-1M-v2). | |
| * The sentence add-on: nlm.q8 (a 2,770,752-parameter Hindi neural language model trained only on | |
| IndicCorp v2 Hindi, CC0, with our own tokenizer, training code and runtime), plus nlm.mjs, v3.mjs | |
| and sent.mjs. This add-on and its training data are commercially clean; the full system still | |
| inherits the v2 word package's terms, which are Apache-2.0 as set out here. | |
| ATTRIBUTION | |
| Under Section 4(d) of the Apache License, any redistribution of this work or of a Derivative Work | |
| (for example: shipping these files in an app, a web page, a browser extension or an SDK, or | |
| releasing a fine-tuned, quantized or converted model based on it) must include a readable copy of | |
| this NOTICE file. Please use the following attribution text: | |
| Transliteration by AksharaLP (Sourojit Dhua) — https://huggingface.co/sourojitdotcom/AksharaLP-Sentence-2.8M | |
| Recommended in-app credit (e.g. in an About, Settings or Licenses screen): | |
| Hindi typing powered by AksharaLP by Sourojit Dhua | |
| The model files in this repository were built with the help of the following | |
| third-party resources. No third-party data is redistributed in this repository | |
| other than as learned model parameters and derived word lists. | |
| ------------------------------------------------------------------------------ | |
| IndicCorp v2 — AI4Bharat | |
| https://github.com/AI4Bharat/IndicBERT/tree/main#indiccorp-v2 | |
| License: CC0 | |
| Used for: training the sentence language model (nlm.q8); the word-model lexicon and | |
| word-bigram language model. | |
| Aksharantar — AI4Bharat | |
| https://huggingface.co/datasets/ai4bharat/Aksharantar | |
| License: CC0 (mined data and existing sources) / CC-BY (manually collected data) | |
| Used for: romanized <-> Devanagari word pairs for training the word model. | |
| IndicXlit — AI4Bharat | |
| https://github.com/AI4Bharat/IndicXlit | |
| License: MIT | |
| Used for: teacher model for word-model distillation. | |
| CMUdict — Carnegie Mellon University | |
| https://github.com/cmusphinx/cmudict | |
| License: BSD-2-Clause-style | |
| Used for: English word cues in the word model. | |
| Fonts served by the demo Space (Inter, Noto Sans Devanagari) are under the SIL Open Font License 1.1. | |