SAVRN Model Hub
Open-Weight Models
An open-weight model is an AI model whose trained weights are published for anyone to download. The weights are what the model learned in training. With a copy of them you can run the model on hardware you control and train it further on your own data.
Open weights are not the same as open source. Many publishers release the weights without the training data or code, and the license sets what you may do with the model. This library puts each model's full card, architecture, files, license and published evaluations on one page.
Updated 2026-10-19 · How the library is built
11,442 models, sorted by most downloaded.
A kraken 7 baseline-segmentation model fine-tuned on Cairo Genizah manuscript pages — the first Genizah-specific segmenter we know of that is publicly available. Recognition models for these hands exist (the MiDRASH project published its recognizers on Zenodo), but line segmentation is where a generic model loses most of the text on Genizah fragments: tight columns, damaged edges, script far larger than the segmenter was trained on, marginal glosses and rotated scans. This model closes a large part of that gap. 10.5281/zenodo.22879549, Apache-2.0), a general print-and-handwriting segmenter trained on Latin, Arabic and Greek script corpora. Cairo Genizah, drawn from the KTIV project of the…
Krea 2 model (covering both the Krea 2 Raw and Krea 2 Turbo variants) is released under a custom Krea 2 Community License Agreement for its weights, alongside an Apache-2.0 license for the inference code repository itself. For removal please contact me directly. All rights remain with their respective creators. By downloading or using any model from this repository, you acknowledge that: - You are solely responsible for how the model is used. - The repository maintainer assumes no responsibility or liability for any content generated by these models. - Krea AI, the original model authors (when applicable), and the repository maintainer cannot be held liable for misuse, illegal activities…
Adult-only (21+) content. Unmodified mirrors of Krea 2 LoRAs, sha256 matches the Civitai originals.
Final Boss and Eldritch, with original rank-16 LoRAs and compressed rank-8 distills. Use strength 1 for the calibrated effect. Same prompt, seed and sampler across each comparison. Built on jimmycarter/krea2-turbo-bbox, epoch-14-step-73184/transformer. These are ordinary attention LoRAs. The originals were trained directly as LoRAs; the distills compress those linear adapters. All images below are AI-generated, 768 × 768, 8 steps, guidance 0, mu=1.15. Each comparison states its seed and keeps it fixed across Original, Distill and Off. They were rendered from the released files, with no external alpha multiplier. A plain research robot becomes a heavier, battle-worn machine with a more…
Learned INT8 ConvRot diffusion model for ComfyUI. Quantized from lodestones/Kroma (kroma-v0.3.1-turbo-opd). This model follows the Krea 2 Community License (krea-2-community-license), same as the source lodestones/Kroma / base Krea/Krea-2. Review the license terms before use or redistribution.
Original server folder: /home/work/mntvol/runs/nuripi05robottt/20260919evalbase5ktest. Restore the contents of payload/ to that path. Contains the original experimental checkpoint/configuration/result files, including resume state when present. This is an archival snapshot, not a claim of evaluation success or an inference-ready standard model. Credentials, external links, caches and opaque tracking/profiling files are excluded and listed in BACKUPMANIFEST.json. Keep the manifest and final verification receipt. No model training or inference was performed for this backup. GR00T derivatives remain subject to the included NVIDIA research/evaluation-only license. Upstream pi/openpi and…
Original server folder: /home/work/mntvol/runs/nuripi05robottt/20260919evalbase5kval. Restore the contents of payload/ to that path. Contains the original experimental checkpoint/configuration/result files, including resume state when present. This is an archival snapshot, not a claim of evaluation success or an inference-ready standard model. Credentials, external links, caches and opaque tracking/profiling files are excluded and listed in BACKUPMANIFEST.json. Keep the manifest and final verification receipt. No model training or inference was performed for this backup. GR00T derivatives remain subject to the included NVIDIA research/evaluation-only license. Upstream pi/openpi and…
Original server folder: /home/work/mntvol/runs/nuripi05robottt/20260920evalfastweightablationval. Restore the contents of payload/ to that path. Contains the original experimental checkpoint/configuration/result files, including resume state when present. This is an archival snapshot, not a claim of evaluation success or an inference-ready standard model. Credentials, external links, caches and opaque tracking/profiling files are excluded and listed in BACKUPMANIFEST.json. Keep the manifest and final verification receipt. No model training or inference was performed for this backup. GR00T derivatives remain subject to the included NVIDIA research/evaluation-only license. Upstream pi/openpi…
Original server folder: /home/work/mntvol/runs/nuripi05robottt/20260920evalpositioncontrolval. Restore the contents of payload/ to that path. Contains the original experimental checkpoint/configuration/result files, including resume state when present. This is an archival snapshot, not a claim of evaluation success or an inference-ready standard model. Credentials, external links, caches and opaque tracking/profiling files are excluded and listed in BACKUPMANIFEST.json. Keep the manifest and final verification receipt. No model training or inference was performed for this backup. GR00T derivatives remain subject to the included NVIDIA research/evaluation-only license. Upstream pi/openpi and…
Original server folder: /home/work/mntvol/runs/nuripi05robottt/20260920evalwarm80plus5ktest. Restore the contents of payload/ to that path. Contains the original experimental checkpoint/configuration/result files, including resume state when present. This is an archival snapshot, not a claim of evaluation success or an inference-ready standard model. Credentials, external links, caches and opaque tracking/profiling files are excluded and listed in BACKUPMANIFEST.json. Keep the manifest and final verification receipt. No model training or inference was performed for this backup. GR00T derivatives remain subject to the included NVIDIA research/evaluation-only license. Upstream pi/openpi and…
Original server folder: /home/work/mntvol/runs/nuripi05robottt/20260921evalh16seed42repeatval. Restore the contents of payload/ to that path. Contains the original experimental checkpoint/configuration/result files, including resume state when present. This is an archival snapshot, not a claim of evaluation success or an inference-ready standard model. Credentials, external links, caches and opaque tracking/profiling files are excluded and listed in BACKUPMANIFEST.json. Keep the manifest and final verification receipt. No model training or inference was performed for this backup. GR00T derivatives remain subject to the included NVIDIA research/evaluation-only license. Upstream pi/openpi and…
Original server folder: /home/work/mntvol/runs/nuripi05robottt/20260921evalh16seedsrepeatval. Restore the contents of payload/ to that path. Contains the original experimental checkpoint/configuration/result files, including resume state when present. This is an archival snapshot, not a claim of evaluation success or an inference-ready standard model. Credentials, external links, caches and opaque tracking/profiling files are excluded and listed in BACKUPMANIFEST.json. Keep the manifest and final verification receipt. No model training or inference was performed for this backup. GR00T derivatives remain subject to the included NVIDIA research/evaluation-only license. Upstream pi/openpi and…
Original server folder: /home/work/mntvol/runs/nuripi05robottt/20260921evalh16seedsval. Restore the contents of payload/ to that path. Contains the original experimental checkpoint/configuration/result files, including resume state when present. This is an archival snapshot, not a claim of evaluation success or an inference-ready standard model. Credentials, external links, caches and opaque tracking/profiling files are excluded and listed in BACKUPMANIFEST.json. Keep the manifest and final verification receipt. No model training or inference was performed for this backup. GR00T derivatives remain subject to the included NVIDIA research/evaluation-only license. Upstream pi/openpi and…
Original server folder: /home/work/mntvol/runs/nuripi05robottt/20261001demosemanticscredit. Restore the contents of payload/ to that path. Contains the original experimental checkpoint/configuration/result files, including resume state when present. This is an archival snapshot, not a claim of evaluation success or an inference-ready standard model. Credentials, external links, caches and opaque tracking/profiling files are excluded and listed in BACKUPMANIFEST.json. Keep the manifest and final verification receipt. No model training or inference was performed for this backup. GR00T derivatives remain subject to the included NVIDIA research/evaluation-only license. Upstream pi/openpi and…
Original server folder: /home/work/mntvol/runs/nuripi05robottt/20261005control80vlmfrozenactionexpertttt80v1. Restore the contents of payload/ to that path. Contains the original experimental checkpoint/configuration/result files, including resume state when present. This is an archival snapshot, not a claim of evaluation success or an inference-ready standard model. Credentials, external links, caches and opaque tracking/profiling files are excluded and listed in BACKUPMANIFEST.json. Keep the manifest and final verification receipt. No model training or inference was performed for this backup. GR00T derivatives remain subject to the included NVIDIA research/evaluation-only license.…
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.
Open-Weight Models Explained
What is an open-weight model?
An AI model whose trained weights are published for anyone to download, so it can be run, tested and fine-tuned on hardware the user controls.
Is an open-weight model the same as open source?
Not always. Open weights means the trained model can be downloaded. Open source usually also means the training code and data are available and the license allows broad reuse. Many open-weight models release the weights only.
Can I use an open-weight model commercially?
It depends on the license. Apache 2.0 and MIT allow commercial use. Other licenses limit it, for example to non-commercial use or below a set number of users. Every model page here shows its license.
How much memory does an open-weight model need?
About two bytes per parameter at 16-bit precision, so a 7-billion-parameter model needs roughly 14 GB for its weights, plus memory for the context it processes. Each model page lists its parameter count and the size of its files.
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.