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.
Measured small-protein ablations, an evaluation RNG/precision repair for the local Boltz quotient adapter, and a cyclic Fourier triangle-contraction prototype. No new weights were trained. This is not evidence of accurate 100k folding. See the report, 38 architecture ideas, and measurements. References are public PDB structures. checkpoint.json identifies the unchanged checkpoint already publicly archived in our preceding audit. results.tar.gz contains per-case/seed coordinates, input features, status, RNG hashes where recorded, and logs. Failed harness attempts are retained. The old sharedrng field denotes model-entry RNG only; use diffusionrngsha256 for the corrected comparison.…
Burmese Daily Dialogue Corpus (BDDC) သည် မြန်မာဘာသာဖြင့် နေ့စဉ်စကားပြောပုံစံများကို အခြေခံထားသော Synthetic Speech Dataset ဖြစ်ပါသည်။ ဤ dataset တွင် ပါဝင်သော Speaker ၁၃ ဦးသည် Synthetic Burmese Speakers များဖြစ်ပြီး မည်သည့် လူသားတစ်ဦးတစ်ယောက်၏ အသံကိုမျှ အသုံးပြုထားခြင်း မရှိပါ။ Speaker တစ်ဦးချင်းစီတွင် စကားပြောပုံ (Speaking Style) နှင့် အသံအရည်အသွေး (Voice Characteristics) မတူညီစေရန် ဖန်တီးထားပါသည်။ လူသားအသံ recording များကို voice cloning သို့မဟုတ် voice conversion ပြုလုပ်ရန် အသုံးပြုခြင်းမရှိသကဲ့သို့ အခြား dataset များမှ အသံများကိုလည်း ထုတ်ယူအသုံးပြုထားခြင်း မရှိပါ။ Test speakers ၂ ဦးသည် Training နှင့် Validation တွင် မပါဝင်သော unseen speakers များဖြစ်ပါသည်။ Speaker-independent evaluation…
Apache TsFile version of kjydb/cafe001. A teleoperation dataset recorded on a PS-A-03 500 arm and packaged in the LeRobot v2.1 layout. Each row is one control step: a 13-dimensional Cartesian state (position x, y, z, orientation rx, ry, rz, linear velocities x.vel, y.vel, z.vel, angular velocities pitch.vel, roll.vel, yaw.vel, and gripper.status) and the matching 13-dimensional commanded action. The metadata records a single task (taskindex = 0). - Time (INT64, milliseconds) — round(timestamp 1000); restarts at 0 for each episode. - episodeindex (TAG) — episode / device dimension. - taskindex (TAG) — task dimension (constant 0 here). - frameindex (FIELD, INT64) — source frame counter…
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.