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.
889 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 weights889 87%
- Restricted weights129 13%
Top licences: Apache License 2.0 (311) · MIT License (125) · Other (unclassified licence) (83) · Creative Commons Attribution-NonCommercial 4.0 (24) · 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=50 | 31019 | 31019 | 31019 | 31019 |
| restricted-weights n=0 | — | — | — | — |
Counts read: allowed · restricted · unknown / unclassified — over the 50 models on this page, from each licence's stated terms (ontology).
Downloadable models
889 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 | |
|---|---|---|---|---|---|---|---|---|
| AREX-TurboOpen weightsBAAI | —unclassified | — | — | — | — | 0 | —— | |
| Aurora-Spec-Minimax-M2.5Open weightsTogether AI · text | Apache-2.0 | 857.9M | — | 19 Feb 2026 | — | 0 | ✓ fits1.0 GB4bit✓ fits1.5 GB8bit | |
| BAGEL-7B-MoTOpen weightsByteDance | Apache-2.0 | 14.7B | — | 19 May 2025 | — | 0 | ✓ fits8.9 GB4bit✓ fits17.4 GB8bit | |
| BFS-Prover-V2-7BOpen weightsByteDance · text | Apache-2.0 | 7.62B | — | 6 Oct 2025 | — | 0 | ✓ fits4.9 GB4bit✓ fits9.3 GB8bit | |
| BigBang-v1Open weightsendless-frontier | —unclassified | — | — | — | — | 0 | —— | |
| BiomedNLP-BiomedBERT-base-uncased-abstractOpen weightsMicrosoft · text | MIT | — | — | 2 Mar 2022 | — | 0 | —— | |
| Cohere-embed-english-v3.0Open weightsCohere | —unclassified | — | — | 2 Nov 2023 | — | 0 | —— | |
| Cohere-embed-multilingual-v3.0Open weightsCohere | —unclassified | — | — | 2 Nov 2023 | — | 0 | —— | |
| Cosmos3-EdgeOpen weightsNVIDIA | Other | 3.86B | — | 1 Jul 2026 | — | 0 | ✓ fits2.7 GB4bit✓ fits4.9 GB8bit | |
| Cydonia 24B V4.1Open weightsTheDrummer · text | —unclassified | — | 131.1K | 27 Sept 2025 | — | 1from $0.50 out | —— | |
| DeepSeek V4 Flash 0423Open weightsDeepSeek · text | MIT | 290.9B | 1.05M | 22 Apr 2026 | — | 2from $0.132 out | ✗ too large167.8 GB4bit✗ too large335.1 GB8bit | |
| DeepSeek V4 Pro 0423Open weightsDeepSeek · text | MIT | 1.6T | 1.05M | 22 Apr 2026 | — | 2from $1.52 out | ✗ too large919.8 GB4bit✗ too large1839.2 GB8bit | |
| DeepSeek-OCROpen weightsDeepSeek · image, text | MIT | 3.34B | — | 17 Oct 2025 | — | 0 | ✓ fits2.4 GB4bit✓ fits4.3 GB8bit | |
| DeepSeek-OCR-2Open weightsDeepSeek · image, text | Apache-2.0 | 3.39B | — | 27 Jan 2026 | — | 0 | ✓ fits2.4 GB4bit✓ fits4.4 GB8bit | |
| DeepSeek-R1-0528Open weightsDeepSeek | —unclassified | — | — | — | — | 0 | —— | |
| DeepSeek-R1-Distill-Qwen-7BOpen weightsDeepSeek · text | MIT | 7.62B | — | 20 Jan 2025 | — | 0 | ✓ fits4.9 GB4bit✓ fits9.3 GB8bit | |
| DeepSeek-V2-LiteOpen weightsDeepSeek | Other | 15.7B | — | 15 May 2024 | — | 0 | ✓ fits9.5 GB4bit✓ fits18.6 GB8bit | |
| DeepSeek-V3.2-Exp-BaseOpen weightsDeepSeek | —unclassified | — | — | — | — | 0 | —— | |
| DeepSeek-V4Open weightsDeepSeek · text | —unclassified | 1.6T49B active | 1M | — | — | 0 | ✗ too large920.5 GB4bit✗ too large1840.5 GB8bit | |
| DeepSeek-V4-Flash-BaseOpen weightsDeepSeek | —unclassified | 292B | — | 22 Apr 2026 | — | 0 | ✗ too large168.4 GB4bit✗ too large336.3 GB8bit | |
| DeepSeek-V4-Flash-DSparkOpen weightsDeepSeek · text | MIT | 165.3B | — | 27 Jun 2026 | — | 0 | ✗ too large95.5 GB4bit✗ too large190.6 GB8bit | |
| DepthCrafterOpen weightsTencent · image | Other | — | — | 14 Sept 2024 | — | 0 | —— | |
| Devstral-Small-2-24B-Instruct-2512Open weightsMistral AI | Apache-2.0 | 24B | — | 28 Nov 2025 | — | 0 | ✓ fits14.3 GB4bit✓ fits28.1 GB8bit | |
| Dragon-DocChat-Context-EncoderOpen weightsCerebras Systems | Other | — | — | 16 Aug 2024 | — | 0 | —— | |
| Dragon-DocChat-Query-EncoderOpen weightsCerebras Systems | Other | — | — | 16 Aug 2024 | — | 0 | —— | |
| ERNIE 4.5 VL 424B A47BOpen weightsBaidu · image, text | Apache-2.0 | 423.5B47B active | 123K | 28 Jun 2025 | — | 1from $1.25 out | ✗ too large244.0 GB4bit✗ too large487.6 GB8bit | |
| ERNIE-4.5-0.3B-Base-PTOpen weightsBaidu · text | Apache-2.0 | 360.8M | — | 28 Jun 2025 | — | 0 | ✓ fits0.7 GB4bit✓ fits0.9 GB8bit | |
| ERNIE-4.5-0.3B-PTOpen weightsBaidu · text | Apache-2.0 | 360.8M | — | 28 Jun 2025 | — | 0 | ✓ fits0.7 GB4bit✓ fits0.9 GB8bit | |
| ERNIE-4.5-0.3B-PaddleOpen weightsBaidu · text | Apache-2.0 | 360.8M | — | 29 Jun 2025 | — | 0 | ✓ fits0.7 GB4bit✓ fits0.9 GB8bit | |
| ERNIE-4.5-21B-A3B-Base-PTOpen weightsBaidu · text | Apache-2.0 | 21.8B3B active | — | 28 Jun 2025 | — | 0 | ✓ fits13.1 GB4bit✓ fits25.6 GB8bit | |
| ERNIE-4.5-21B-A3B-PTOpen weightsBaidu · text | Apache-2.0 | 21.9B3B active | — | 28 Jun 2025 | — | 0 | ✓ fits13.1 GB4bit✓ fits25.7 GB8bit | |
| ERNIE-4.5-21B-A3B-ThinkingOpen weightsBaidu · text | Apache-2.0 | 21.8B3B active | — | 8 Sept 2025 | — | 0 | ✓ fits13.1 GB4bit✓ fits25.6 GB8bit | |
| ERNIE-4.5-300B-A47B-Base-PTOpen weightsBaidu · text | Apache-2.0 | 299.5B47B active | — | 28 Jun 2025 | — | 0 | ✗ too large172.7 GB4bit✗ too large344.9 GB8bit | |
| ERNIE-4.5-300B-A47B-PTOpen weightsBaidu · text | Apache-2.0 | 300.5B47B active | — | 28 Jun 2025 | — | 0 | ✗ too large173.3 GB4bit✗ too large346.0 GB8bit | |
| ERNIE-4.5-300B-A47B-PaddleOpen weightsBaidu · text | Apache-2.0 | 300.5B47B active | — | 28 Jun 2025 | — | 0 | ✗ too large173.3 GB4bit✗ too large346.0 GB8bit | |
| ERNIE-4.5-VL-28B-A3B-PTOpen weightsBaidu · image, text | Apache-2.0 | 29.4B3B active | — | 28 Jun 2025 | — | 0 | ✓ fits17.4 GB4bit✓ fits34.3 GB8bit | |
| ERNIE-4.5-VL-28B-A3B-ThinkingOpen weightsBaidu · image, text | Apache-2.0 | 29.7B3B active | — | 7 Nov 2025 | — | 0 | ✓ fits17.6 GB4bit✓ fits34.6 GB8bit | |
| ERNIE-4.5-VL-424B-A47B-Base-PTOpen weightsBaidu · image, text | Apache-2.0 | 423.5B47B active | — | 28 Jun 2025 | — | 0 | ✗ too large244.0 GB4bit✗ too large487.6 GB8bit | |
| ERNIE-ImageOpen weightsBaidu · image, text | Apache-2.0 | 8.03B | — | 7 Apr 2026 | — | 0 | ✓ fits5.1 GB4bit✓ fits9.7 GB8bit | |
| ERNIE-Image-AesOpen weightsBaidu | Apache-2.0 | 7.94B | — | 18 May 2026 | — | 0 | ✓ fits5.1 GB4bit✓ fits9.6 GB8bit | |
| ERNIE-Image-TurboOpen weightsBaidu · image, text | Apache-2.0 | 8.03B | — | 2 Apr 2026 | — | 0 | ✓ fits5.1 GB4bit✓ fits9.7 GB8bit | |
| EXAONE-3.0-7.8B-InstructOpen weightsLG AI Research · text | Other | 7.82B | — | 31 Jul 2024 | — | 0 | ✓ fits5.0 GB4bit✓ fits9.5 GB8bit | |
| EXAONE-3.5-2.4B-InstructOpen weightsLG AI Research · text | Other | 2.41B | — | 1 Dec 2024 | — | 0 | ✓ fits1.9 GB4bit✓ fits3.3 GB8bit | |
| EXAONE-3.5-32B-InstructOpen weightsLG AI Research · text | Other | 32B | — | 1 Dec 2024 | — | 0 | ✓ fits18.9 GB4bit✓ fits37.3 GB8bit | |
| EXAONE-3.5-7.8B-InstructOpen weightsLG AI Research · text | Other | 7.82B | — | 1 Dec 2024 | — | 0 | ✓ fits5.0 GB4bit✓ fits9.5 GB8bit | |
| EXAONE-4.0.1-32BOpen weightsLG AI Research · text | Other | 32B | — | 29 Jul 2025 | — | 0 | ✓ fits18.9 GB4bit✓ fits37.3 GB8bit | |
| FLUX.1-schnellOpen weightsBlack Forest Labs · image, text | Apache-2.0 | 11.9B | — | 31 Jul 2024 | — | 0 | ✓ fits7.3 GB4bit✓ fits14.2 GB8bit | |
| FLUX.2-klein-4BOpen weightsBlack Forest Labs · image | Apache-2.0 | 3.88B | — | 14 Jan 2026 | — | 0 | ✓ fits2.7 GB4bit✓ fits5.0 GB8bit | |
| FLUX.2-klein-base-4BOpen weightsBlack Forest Labs · image | Apache-2.0 | 3.88B | — | 14 Jan 2026 | — | 0 | ✓ fits2.7 GB4bit✓ fits5.0 GB8bit | |
| FLUX.2-small-decoderOpen weightsBlack Forest Labs · image | Apache-2.0 | 62.4M | — | 6 Apr 2026 | — | 0 | ✓ fits0.5 GB4bit✓ fits0.6 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