Open models
Every canonical model whose weights can be downloaded, described by measurable properties — licence permissions, parameters, context, release, benchmark ranks, providers, estimated local fit. Openness is a set of observed dimensions here, never a score.
950 downloadable models
Openness explorer
Categories and licence permissions
Left: the downloadable universe by openness category. Right: what the licences on this page allow, counted per category — allowed · restricted · unknown.
- Open source1 0%
- Open weights869 91%
- Restricted weights80 8%
Top licences: Apache License 2.0 (275) · Other (unclassified licence) (115) · MIT License (92) · Creative Commons Attribution-NonCommercial 4.0 (22) · Apple Sample Code / ML Research License (15) · Llama 3.2 Community License (12)
| Category · this page | Commercial use | Redistribution | Derivatives | Hosting |
|---|---|---|---|---|
| Open source n=0 | — | — | — | — |
| Open weights n=45 | 24021 | 24021 | 24021 | 23022 |
| restricted-weights n=5 | 410 | 500 | 500 | 230 |
Counts read: allowed · restricted · unknown / unclassified — over the 50 models on this page, from each licence's stated terms (ontology).
Downloadable models
950 models · sorted by best benchmark rank
Permissions, in order:commercial use· redistribution· derivatives· hosting allowed restricted unknown
| Model | Licence · permissions | Params | Context | Release | Best results | Providers | Fit 64 GB @4bit · 128 GB @8bit Estimated | |
|---|---|---|---|---|---|---|---|---|
| sdxl-turboOpen weightsStability AI | Other | 2.57B | — | 27 Nov 2023 | — | 0 | ✓ fits2.0 GB4bit✓ fits3.5 GB8bit | |
| sdxl-vaeOpen weightsStability AI | MIT | 83.7M | — | 21 Jun 2023 | — | 0 | ✓ fits0.6 GB4bit✓ fits0.6 GB8bit | |
| siglip-base-patch16-224Open weightsGoogle | Apache-2.0 | 203.2M | — | 30 Sept 2023 | — | 0 | ✓ fits0.6 GB4bit✓ fits0.7 GB8bit | |
| siglip-base-patch16-512Open weightsGoogle | —unclassified | — | — | — | — | 0 | —— | |
| siglip-so400m-patch14-384Open weightsGoogle | Apache-2.0 | 878M | — | 8 Jan 2024 | — | 0 | ✓ fits1.0 GB4bit✓ fits1.5 GB8bit | |
| siglip2-base-patch16-224Open weightsGoogle | Apache-2.0 | 375.2M | — | 17 Feb 2025 | — | 0 | ✓ fits0.7 GB4bit✓ fits0.9 GB8bit | |
| siglip2-giant-opt-patch16-384Open weightsGoogle | Apache-2.0 | 1.87B | — | 17 Feb 2025 | — | 0 | ✓ fits1.6 GB4bit✓ fits2.6 GB8bit | |
| siglip2-so400m-patch16-512Open weightsGoogle | —unclassified | — | — | — | — | 0 | —— | |
| specter2_baseOpen weightsAllen Institute for AI | Apache-2.0 | — | — | 16 Feb 2023 | — | 0 | —— | |
| stable-audio-3-mediumOpen weightsStability AI | Other | 2.31B | — | 17 May 2026 | — | 0 | ✓ fits1.8 GB4bit✓ fits3.2 GB8bit | |
| stable-audio-3-medium-baseOpen weightsStability AI | —unclassified | — | — | — | — | 0 | —— | |
| stable-audio-3-small-musicOpen weightsStability AI | Other | 567.6M | — | 17 May 2026 | — | 0 | ✓ fits0.8 GB4bit✓ fits1.2 GB8bit | |
| stable-audio-3-small-music-baseOpen weightsStability AI | —unclassified | — | — | — | — | 0 | —— | |
| stable-audio-3-small-sfxOpen weightsStability AI | Other | 567.6M | — | 17 May 2026 | — | 0 | ✓ fits0.8 GB4bit✓ fits1.2 GB8bit | |
| stable-audio-3-small-sfx-baseOpen weightsStability AI | —unclassified | — | — | — | — | 0 | —— | |
| stable-audio-open-1.0Open weightsStability AI | Other | 1.21B | — | 24 May 2024 | — | 0 | ✓ fits1.2 GB4bit✓ fits1.9 GB8bit | |
| stable-diffusion-3-medium-diffusersOpen weightsStability AI | Other | 2.08B | — | 12 Jun 2024 | — | 0 | ✓ fits1.7 GB4bit✓ fits2.9 GB8bit | |
| stable-diffusion-3.5-largeOpen weightsStability AI | Other | 8.15B | — | 22 Oct 2024 | — | 0 | ✓ fits5.2 GB4bit✓ fits9.9 GB8bit | |
| stable-diffusion-3.5-mediumOpen weightsStability AI | Other | 2.47B | — | 29 Oct 2024 | — | 0 | ✓ fits1.9 GB4bit✓ fits3.3 GB8bit | |
| stable-diffusion-xl-base-1.0restricted-weightsStability AI | OpenRAIL++-M | 2.57B | — | 25 Jul 2023 | — | 0 | ✓ fits2.0 GB4bit✓ fits3.5 GB8bit | |
| stable-diffusion-xl-refiner-1.0restricted-weightsStability AI | OpenRAIL++-M | 2.26B | — | 26 Jul 2023 | — | 0 | ✓ fits1.8 GB4bit✓ fits3.1 GB8bit | |
| stable-fast-3dOpen weightsStability AI | Other | 1.01B | — | 17 Jul 2024 | — | 0 | ✓ fits1.1 GB4bit✓ fits1.7 GB8bit | |
| stable-video-diffusion-img2vidOpen weightsStability AI | Other | 1.52B | — | 20 Nov 2023 | — | 0 | ✓ fits1.4 GB4bit✓ fits2.3 GB8bit | |
| stable-video-diffusion-img2vid-xtOpen weightsStability AI | Other | 1.52B | — | 20 Nov 2023 | — | 0 | ✓ fits1.4 GB4bit✓ fits2.3 GB8bit | |
| stablelm-3b-4e1tOpen weightsStability AI | CC-BY-SA-4.0 | 2.8B | — | 29 Sept 2023 | — | 0 | ✓ fits2.1 GB4bit✓ fits3.7 GB8bit | |
| stack-edu-classifier-pythonOpen weightsHugging Face | —unclassified | 124.2M | — | 23 Sept 2024 | — | 0 | ✓ fits0.6 GB4bit✓ fits0.6 GB8bit | |
| starencoderOpen weightsbigcode | —unclassified | — | — | — | — | 0 | —— | |
| table-transformer-detectionOpen weightsMicrosoft | MIT | 28.8M | — | 14 Oct 2022 | — | 0 | ✓ fits0.5 GB4bit✓ fits0.5 GB8bit | |
| table-transformer-structure-recognitionOpen weightsMicrosoft | MIT | 28.9M | — | 14 Oct 2022 | — | 0 | ✓ fits0.5 GB4bit✓ fits0.5 GB8bit | |
| tapex-base-finetuned-wikisqlOpen weightsMicrosoft | MIT | — | — | 2 Mar 2022 | — | 0 | —— | |
| timesfm-2.5-200m-pytorchOpen weightsGoogle | Apache-2.0 | 231.3M | — | 2 Sept 2025 | — | 0 | ✓ fits0.6 GB4bit✓ fits0.8 GB8bit | |
| tiny-aya-baserestricted-weightsCohere | CC-BY-NC-4.0 | 3.35B | — | 13 Feb 2026 | — | 0 | ✓ fits2.4 GB4bit✓ fits4.3 GB8bit | |
| togethercomputer/LLaMA-2-7B-32Krestricted-weightsTogether AI | Llama-2-Community | 7B | — | 26 Jul 2023 | — | 0 | ✓ fits4.5 GB4bit✓ fits8.6 GB8bit | |
| togethercomputer/Llama-2-7B-32K-Instructrestricted-weightsTogether AI | Llama-2-Community | 7B | — | 8 Aug 2023 | — | 0 | ✓ fits4.5 GB4bit✓ fits8.6 GB8bit | |
| unifiedqa-t5-smallOpen weightsAllen Institute for AI | —unclassified | — | — | 2 Mar 2022 | — | 0 | —— | |
| vit-base-patch16-224Open weightsGoogle | Apache-2.0 | 86.6M | — | 2 Mar 2022 | — | 0 | ✓ fits0.6 GB4bit✓ fits0.6 GB8bit | |
| vit-base-patch16-224-in21kOpen weightsGoogle | Apache-2.0 | 86.4M | — | 2 Mar 2022 | — | 0 | ✓ fits0.6 GB4bit✓ fits0.6 GB8bit | |
| wavlm-base-plusOpen weightsMicrosoft | —unclassified | — | — | 2 Mar 2022 | — | 0 | —— | |
| wavlm-largeOpen weightsMicrosoft | —unclassified | — | — | 2 Mar 2022 | — | 0 | —— | |
| whisper-baseOpen weightsOpenAI | Apache-2.0 | 72.6M | — | 26 Sept 2022 | — | 0 | ✓ fits0.6 GB4bit✓ fits0.6 GB8bit | |
| whisper-base.enOpen weightsOpenAI | Apache-2.0 | 72.6M | — | 26 Sept 2022 | — | 0 | ✓ fits0.6 GB4bit✓ fits0.6 GB8bit | |
| whisper-largeOpen weightsOpenAI | Apache-2.0 | 1.54B | — | 26 Sept 2022 | — | 0 | ✓ fits1.4 GB4bit✓ fits2.3 GB8bit | |
| whisper-large-v2Open weightsOpenAI | Apache-2.0 | 1.54B | — | 5 Dec 2022 | — | 0 | ✓ fits1.4 GB4bit✓ fits2.3 GB8bit | |
| whisper-mediumOpen weightsOpenAI | Apache-2.0 | 763.9M | — | 26 Sept 2022 | — | 0 | ✓ fits0.9 GB4bit✓ fits1.4 GB8bit | |
| whisper-medium.enOpen weightsOpenAI | Apache-2.0 | 763.9M | — | 26 Sept 2022 | — | 0 | ✓ fits0.9 GB4bit✓ fits1.4 GB8bit | |
| whisper-smallOpen weightsOpenAI | Apache-2.0 | 241.7M | — | 26 Sept 2022 | — | 0 | ✓ fits0.6 GB4bit✓ fits0.8 GB8bit | |
| whisper-small.enOpen weightsOpenAI | Apache-2.0 | 241.7M | — | 26 Sept 2022 | — | 0 | ✓ fits0.6 GB4bit✓ fits0.8 GB8bit | |
| whisper-tinyOpen weightsOpenAI | Apache-2.0 | 37.8M | — | 26 Sept 2022 | — | 0 | ✓ fits0.5 GB4bit✓ fits0.6 GB8bit | |
| whisper-tiny.enOpen weightsOpenAI | Apache-2.0 | 37.8M | — | 26 Sept 2022 | — | 0 | ✓ fits0.5 GB4bit✓ fits0.6 GB8bit | |
| wildguardOpen weightsAllen Institute for AI | Apache-2.0 | 7.25B | — | 15 Jun 2024 | — | 0 | ✓ fits4.7 GB4bit✓ fits8.8 GB8bit |
Best results = rank inside each benchmark's primary comparability group; several dimensions are shown side by side and never combined. Fit columns are estimates (64 GB device at 4-bit, 128 GB at 8-bit, 8K context) — method on /methodology. unclassified = the raw licence label is not yet mapped in the ontology.
MethodUniverse = canonical models whose weights can be downloaded (open-weights, open-source, restricted-weights). hardware_fit values are ESTIMATES (see /methodology); best_results are ranks inside each benchmark's primary comparability group — no composite score. /methodology