| Vela Halu |
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| This model is fine-tuned from llm-semantic-router/Vela-1.0-Encoder-307M, released under the MIT license. |
| Foundation: https://huggingface.co/llm-semantic-router/Vela-1.0-Encoder-307M/tree/fe9ccc074b781bc0e2e13c2c8d26f2640410636a |
| Its underlying mmBERT foundation is jhu-clsp/mmBERT-base (MIT): |
| https://huggingface.co/jhu-clsp/mmBERT-base |
| mmBERT authors: Marc Marone, Orion Weller, William Fleshman, Eugene Yang, |
| Dawn Lawrie, and Benjamin Van Durme. |
| The model cards declare MIT; no separate copyright notice was supplied with |
| these foundation model artifacts. The MIT permission and disclaimer follow: |
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| Permission is hereby granted, free of charge, to any person obtaining a copy |
| of this software and associated documentation files (the "Software"), to deal |
| in the Software without restriction, including without limitation the rights |
| to use, copy, modify, merge, publish, distribute, sublicense, and/or sell |
| copies of the Software, and to permit persons to whom the Software is |
| furnished to do so, subject to the following conditions: |
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| The above copyright notice and this permission notice shall be included in all |
| copies or substantial portions of the Software. |
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| THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR |
| IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, |
| FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE |
| AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER |
| LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, |
| OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE |
| SOFTWARE. |
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| Training-data attribution |
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| The following datasets are distributed by KRLabsOrg under CC BY 4.0: |
| - https://huggingface.co/datasets/KRLabsOrg/lettucedetect-code-hallucination |
| - https://huggingface.co/datasets/KRLabsOrg/lettucedetect-prose-hallucination |
| License: https://creativecommons.org/licenses/by/4.0/ |
| Code hallucination dataset: Ádám Kovács, Bowei He, Xue Liu, István Boros, |
| Szilveszter Tóth, and Gábor Recski. |
| Prose dataset and LettuceDetect: Ádám Kovács and Gábor Recski. |
| Original prose sources: https://huggingface.co/datasets/s-nlp/PsiloQA |
| and https://github.com/ParticleMedia/RAGTruth |
| The source prompts and answers were tokenized; annotated spans were mapped |
| to binary answer-token labels for fine-tuning. No dataset rows are distributed |
| in this model repository. Dataset licenses do not replace the model license. |
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