# Prayas Abhinav: Open-Weight Models and Datasets
Source: https://savrn.com/model-publishers/prayasabhinav
Markdown alternate of the page above; the site index is https://savrn.com/llms.txt

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## Models

Model · Question answering

### [rai](https://savrn.com/models/rai)

[Prayas Abhinav](https://savrn.com/model-publishers/prayasabhinav)

What it is. An extractive question-answering model. Given a question and a short typed answer, it returns the phrase in the answer that answers the question, or nothing. It cannot generate text. It is the reading part of rai, a tool that says only whether a description is complete under a notion of completeness written down in advance. Every decision after the reading is made in plain code. Trained from. deepset/minilm-uncased-squad2 (CC-BY-4.0), deepset's fine-tune of Microsoft's MiniLM-L12-H384-uncased (MIT) on SQuAD 2.0. Same architecture, 33M parameters, nothing added. Credit to deepset and Microsoft. 0.3.7 trains on 0.3.6's rows and 5,800 more written in Claude Code. In 0.3.6's rows…

Open weights cc-by-4.0 33M parameters 512 tokens transformers

[View model](https://savrn.com/models/rai)

## Explore More

- [All model publishers](https://savrn.com/model-publishers)
- [The model directory](https://savrn.com/models)
- [The dataset directory](https://savrn.com/datasets)

## Source

- Listed from their public repositories, read 2026-09-27.
- [Hugging Face profile](https://huggingface.co/prayasabhinav)
- [How the hub is built](https://savrn.com/model-hub/methodology)