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 | 32018 | 32018 | 32018 | 32018 |
| 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 | |
|---|---|---|---|---|---|---|---|---|
| Qwen3 VL 235B A22B ThinkingOpen weightsQwen · image, text | —unclassified | — | 131.1K | 23 Sept 2025 | — | 1from $4 out | —— | |
| Qwen3 VL 30B A3B ThinkingOpen weightsQwen · image, text | —unclassified | — | 262.1K | 6 Oct 2025 | — | 1from $2.4 out | —— | |
| Qwen3 VL 8B ThinkingOpen weightsQwen · image, text | —unclassified | — | 131.1K | 14 Oct 2025 | — | 1from $2.1 out | —— | |
| Qwen3-0.6B-BaseOpen weightsQwen | —unclassified | — | — | — | — | 0 | —— | |
| Qwen3-4B-BaseOpen weightsQwen | —unclassified | — | — | — | — | 0 | —— | |
| Qwen3-4B-Instruct-2507Open weightsQwen | —unclassified | — | — | — | — | 0 | —— | |
| Qwen3-8B-BaseOpen weightsQwen | —unclassified | — | — | — | — | 0 | —— | |
| Qwen3-Embedding-0.6BOpen weightsQwen · embedding, text | Apache-2.0 | 595.8M | — | 3 Jun 2025 | — | 0 | ✓ fits0.8 GB4bit✓ fits1.2 GB8bit | |
| Qwen3-VL-2B-InstructOpen weightsQwen | —unclassified | — | — | — | — | 0 | —— | |
| Qwen3.5-4B-BaseOpen weightsQwen | —unclassified | — | — | — | — | 0 | —— | |
| Qwen3.5-9B-BaseOpen weightsQwen | —unclassified | — | — | — | — | 0 | —— | |
| Qwen3GuardOpen weightsQwen Team · text | —unclassified | — | — | 23 Sept 2025 | — | 0 | —— | |
| ReMM SLERP 13BOpen weightsundi95 · text | —unclassified | — | 6.14K | 22 Jul 2023 | — | 1from $0.65 out | —— | |
| RedPajama-INCITE-7B-BaseOpen weightsTogether AI · text | Apache-2.0 | 7B | — | 4 May 2023 | — | 0 | ✓ fits4.5 GB4bit✓ fits8.6 GB8bit | |
| RedPajama-INCITE-7B-ChatOpen weightsTogether AI · text | Apache-2.0 | 7B | — | 4 May 2023 | — | 0 | ✓ fits4.5 GB4bit✓ fits8.6 GB8bit | |
| RedPajama-INCITE-7B-InstructOpen weightsTogether AI · text | Apache-2.0 | 7B | — | 5 May 2023 | — | 0 | ✓ fits4.5 GB4bit✓ fits8.6 GB8bit | |
| RedPajama-INCITE-Base-3B-v1Open weightsTogether AI · text | Apache-2.0 | 3B | — | 4 May 2023 | — | 0 | ✓ fits2.2 GB4bit✓ fits4.0 GB8bit | |
| RedPajama-INCITE-Chat-3B-v1Open weightsTogether AI · text | Apache-2.0 | 3B | — | 5 May 2023 | — | 0 | ✓ fits2.2 GB4bit✓ fits4.0 GB8bit | |
| RedPajama-INCITE-Instruct-3B-v1Open weightsTogether AI · text | Apache-2.0 | 3B | — | 5 May 2023 | — | 0 | ✓ fits2.2 GB4bit✓ fits4.0 GB8bit | |
| Reka EdgeOpen weightsrekaai · image, text, video | —unclassified | — | 16.4K | 20 Mar 2026 | — | 1from $0.10 out | —— | |
| Ring-2.5-1TOpen weightsinclusionAI · text | MIT | 1.01T | — | 10 Feb 2026 | — | 0 | ✗ too large582.7 GB4bit✗ too large1164.8 GB8bit | |
| SOLAR-10.7B-v1.0Open weightsUpstage · text | Apache-2.0 | 10.7B | — | 12 Dec 2023 | — | 0 | ✓ fits6.7 GB4bit✓ fits12.8 GB8bit | |
| SRPO-Qwen-32BOpen weightsKwaipilot | MIT | 32.8B | — | 21 Apr 2025 | — | 0 | ✓ fits19.3 GB4bit✓ fits38.2 GB8bit | |
| Schematron V2 SmallOpen weightsInference.net · text | —unclassified | — | 128K | — | — | 1from $0.23 out | —— | |
| Schematron V2 TurboOpen weightsInference.net · text | —unclassified | — | 128K | — | — | 1from $0.15 out | —— | |
| Seed-Coder-8B-BaseOpen weightsByteDance · text | MIT | 8.25B | — | 27 Apr 2025 | — | 0 | ✓ fits5.3 GB4bit✓ fits10.0 GB8bit | |
| Seed-Coder-8B-InstructOpen weightsByteDance · text | MIT | 8.25B | — | 27 Apr 2025 | — | 0 | ✓ fits5.3 GB4bit✓ fits10.0 GB8bit | |
| Seed-Coder-8B-ReasoningOpen weightsByteDance · text | MIT | 8.25B | — | 27 Apr 2025 | — | 0 | ✓ fits5.3 GB4bit✓ fits10.0 GB8bit | |
| Seed-OSS-36B-BaseOpen weightsByteDance · text | Apache-2.0 | 36.1B | — | 20 Aug 2025 | — | 0 | ✓ fits21.3 GB4bit✓ fits42.1 GB8bit | |
| Seed-X-PPO-7BOpen weightsByteDance · text | Other | 7.51B | — | 16 Jul 2025 | — | 0 | ✓ fits4.8 GB4bit✓ fits9.1 GB8bit | |
| SeedVR-3BOpen weightsByteDance · video | Apache-2.0 | 3B | — | 11 Jun 2025 | — | 0 | ✓ fits2.2 GB4bit✓ fits4.0 GB8bit | |
| SeedVR-7BOpen weightsByteDance · video | Apache-2.0 | 7B | — | 11 Jun 2025 | — | 0 | ✓ fits4.5 GB4bit✓ fits8.6 GB8bit | |
| SeedVR2-3BOpen weightsByteDance · video | Apache-2.0 | 3B | — | 10 Jun 2025 | — | 0 | ✓ fits2.2 GB4bit✓ fits4.0 GB8bit | |
| SeedVR2-7BOpen weightsByteDance · video | Apache-2.0 | 7B | — | 11 Jun 2025 | — | 0 | ✓ fits4.5 GB4bit✓ fits8.6 GB8bit | |
| Shieldstral 1.0Open weightsMistral AI | Apache-2.0 | — | 32K | — | — | 0 | —— | |
| Skyfall 36B V2Open weightsTheDrummer · text | —unclassified | — | 32.8K | 10 Mar 2025 | — | 1from $0.80 out | —— | |
| SmolLM-1.7BOpen weightsHugging Face · text | Apache-2.0 | 1.71B | — | 14 Jul 2024 | — | 0 | ✓ fits1.5 GB4bit✓ fits2.5 GB8bit | |
| SmolLM-1.7B-InstructOpen weightsHugging Face · text | Apache-2.0 | 1.71B | — | 15 Jul 2024 | — | 0 | ✓ fits1.5 GB4bit✓ fits2.5 GB8bit | |
| SmolLM-135MOpen weightsHugging Face · text | Apache-2.0 | 134.5M | — | 14 Jul 2024 | — | 0 | ✓ fits0.6 GB4bit✓ fits0.7 GB8bit | |
| SmolLM-135M-InstructOpen weightsHugging Face · text | Apache-2.0 | 134.5M | — | 15 Jul 2024 | — | 0 | ✓ fits0.6 GB4bit✓ fits0.7 GB8bit | |
| SmolLM-360MOpen weightsHugging Face | —unclassified | — | — | — | — | 0 | —— | |
| SmolLM-360M-InstructOpen weightsHugging Face · text | Apache-2.0 | 361.8M | — | 15 Jul 2024 | — | 0 | ✓ fits0.7 GB4bit✓ fits0.9 GB8bit | |
| SmolLM2-1.7BOpen weightsHugging Face · text | Apache-2.0 | 1.71B | — | 30 Oct 2024 | — | 0 | ✓ fits1.5 GB4bit✓ fits2.5 GB8bit | |
| SmolLM2-1.7B-InstructOpen weightsHugging Face · text | Apache-2.0 | 1.71B | — | 31 Oct 2024 | — | 0 | ✓ fits1.5 GB4bit✓ fits2.5 GB8bit | |
| SmolLM2-135MOpen weightsHugging Face · text | Apache-2.0 | 134.5M | — | 31 Oct 2024 | — | 0 | ✓ fits0.6 GB4bit✓ fits0.7 GB8bit | |
| SmolLM2-135M-InstructOpen weightsHugging Face · text | Apache-2.0 | 134.5M | — | 31 Oct 2024 | — | 0 | ✓ fits0.6 GB4bit✓ fits0.7 GB8bit | |
| SmolLM2-360MOpen weightsHugging Face · text | Apache-2.0 | 361.8M | — | 31 Oct 2024 | — | 0 | ✓ fits0.7 GB4bit✓ fits0.9 GB8bit | |
| SmolLM2-360M-InstructOpen weightsHugging Face · text | Apache-2.0 | 361.8M | — | 31 Oct 2024 | — | 0 | ✓ fits0.7 GB4bit✓ fits0.9 GB8bit | |
| SmolLM3-3BOpen weightsHugging Face · text | Apache-2.0 | 3.08B | — | 8 Jul 2025 | — | 0 | ✓ fits2.3 GB4bit✓ fits4.0 GB8bit | |
| SmolLM3-3B-BaseOpen weightsHugging Face · text | Apache-2.0 | 3.08B | — | 19 Jun 2025 | — | 0 | ✓ fits2.3 GB4bit✓ fits4.0 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