Show HN: AQ – a from-scratch 1B academic LLM by a 2-person team in India
Raising the Academic Quotient of every student. AQ is a 1.26B-parameter academic tutor built completely from scratch by Zyora Labs — proprietary architecture, own training code (pure PyTorch), own tokenizer, own data pipeline, own tutor fine-tune. This is the tutor (instruct) model: it answers student questions directly with explanations, numbered steps, and worked examples.
- ▪Raising the Academic Quotient of every student.
- ▪AQ is a 1.26B-parameter academic tutor built completely from scratch by Zyora Labs — proprietary architecture, own training code (pure PyTorch), own tokenizer, own data pipeline, own tutor fine-tune.
- ▪This is the tutor (instruct) model: it answers student questions directly with explanations, numbered steps, and worked examples.
Hacker News (AI / LLM) files mainly under ai. We currently carry 3,336 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | Huggingface |
| Canonical URL | https://huggingface.co/zyoralabs/AQ-academic-ai |
| Publication time | Mon, 03 Aug 2026 09:47:58 +0000 |
| Retrieval time | 2026-08-03T10:00:43.414Z |
| Last seen | 2026-08-03T10:00:43.414Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | JUsp40F2ZJWv · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
zyoralabs / AQ-academic-ai like 0 Text Generation Safetensors English Tamil Hindi aq education academic tutor concept-first india from-scratch custom_code License: apache-2.0 Model card Files Files and versions xet Community Copy to bucket new AQ-Academic-AI — Academic Quotient v1 (Tutor) Training Prompt format Architecture (proprietary, from scratch) Benchmarks (0-shot, lm-evaluation-harness) Intended use Team About AQ-Academic-AI — Academic Quotient v1 (Tutor) AQ (Academic Quotient) — India's Concept-First Academic AI. v1 now live. Raising the Academic Quotient of every student. AQ is a 1.26B-parameter academic tutor built completely from scratch by Zyora Labs — proprietary architecture, own training code (pure PyTorch), own tokenizer, own data pipeline, own tutor fine-tune.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Huggingface.