SAVRN Model Hub
AI Training Datasets
Each dataset with its card, its structure (every split, row count and column type), its files, its license, and the models that disclose training on it.
11,122Models
3,164Datasets
285Papers
6,792Publishers
11,852Sourced relationships
Updated 2026-10-18 · How the library is built
3,164 datasets, sorted by most downloaded.
Target repo: endomorphosis/ipfsfinlandmunicipallaws (new; there's no existing FI municipal repo on the Hub). Official websites of the 20 largest Finnish municipalities (Statistics Finland codes in ids, fi-mun- - ). - Rule pages were found through each city's sitemaps (robots.txt Sitemap: lines or the default sitemap paths) using a keyword filter: hallintosääntö, johtosääntö, järjestyssääntö, toimintasääntö, taloussääntö, säännöt, taksa, maksut, rakennusjärjestys, ympäristönsuojelumääräykset, jätehuoltomääräykset. - Text comes from the official PDFs linked on those pages (pdftotext; PDFs without a text layer were skipped, no OCR), or from the HTML rule pages where the city publishes the rule…
Remote directories and file names are randomized. Existing archives within the size limit retain their original bytes and extensions. Oversized tar archives are repacked into independently readable, uncompressed tar shards, each no larger than 15,000,000,000 bytes including tar headers and padding. Archive member paths and payload bytes are preserved. Shard boundaries and compression may change; tar layout alone does not guarantee WebDataset compatibility. Access requires manual approval. The source-path mapping is retained locally by the owner. Contact the owner for provenance, format guidance and applicable source licenses. This repository grants no additional rights to the underlying…
Channel Works関連のいろいろ。 MITライセンスなので自由に使えます。ライセンス表記も不要だけど書いてくれるとうれしいな。
706-sample audio-video consistency benchmark. Media is here; the score CSV and evaluation script are on GitHub. From the GitHub repository
please wait... see the preview HERE
Target repo: endomorphosis/ipfsswitzerlandmunicipallaws (new; there's no existing CH municipal repo on the Hub). - LexFind.ch (https://www.lexfind.ch): public frontend JSON API, category 9 "Gemeindeerlass", active texts only. Text comes from the official PDFs of the Basel-Stadt law collection (gesetzessammlung.bs.ch), extracted with pdftotext (no OCR). Covers Einwohnergemeinde Riehen (RiE), Einwohnergemeinde Bettingen (BeE) and Bürgergemeinde Basel (BaB). - Stadtrecht Bern (https://stadtrecht.bern.ch, Systematische Sammlung des Stadtrechts, SSSB): the lex- acts listed in sitemap.xml, with text from each act's official PDF export (.pdf). - Stadt Zürich Amtliche Sammlung…
Logit bias lists and a script to apply the overthinking penalty of Lotfi et al., "Quantized Reasoning Models Think They Need to Think Longer, but They Do Not" (arXiv:2606.00206) with llama.cpp's llama-server. The method subtracts a fixed λ from the logits of 50 overthinking markers (Appendix C, Table 8: " Wait", " But", " Alternatively", " perhaps",...) at every decoding step. It needs no extra forward pass, so llama.cpp's logit bias is all it takes. For Ornith-1.5 and models built from it (e.g. Tiel-Coder), use the paragraph-initial list (--initial, bias/ornith-1.5-35b-a3b/initial-lambda-) rather than the paper's list. These models open a new line of reasoning at the start of a paragraph…
Model Collections
Hand-picked starting points, each with the reason it exists.
Collection · 4 entries
Embedding models for retrieval
Sentence and document embedding models used to build retrieval systems. Dimension and sequence length matter more than size here, and both come from the publisher.
Collection · 4 entries
Models that fit on one accelerator
Models whose publisher-reported parameter count puts them within reach of a single accelerator at common precisions. Memory needed depends on precision and serving configuration, so treat the parameter count as the starting point, not the answer.
Collection · 6 entries
Open-weight text models worth knowing
Widely used open-weight language models, chosen because each one is a distinct family rather than a variant of the one above it. Selection, not a ranking.
Collection · 3 entries
Speech and audio models
Recognition and synthesis models, grouped so the two directions are easy to compare.
Related SAVRN Research
The hub sits beside SAVRN's market data and infrastructure research: what models cost to run, and what it takes to run them.
SAVRN Index
What open models cost to run
The same open-weight model priced by every host that serves it, per million tokens.
Research Hub
Data center trackers and maps
Moratoriums, permits, power, water and capital behind the facilities that run these models.
Method
How the Model Hub is built
Sources, evidence labels, refresh behaviour, and the limits of every comparison here.