Skip to content
AI Atlas
Open model frontier

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.

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 pageCommercial useRedistributionDerivativesHosting
Open source n=0
Open weights n=4925024250242502425024
restricted-weights n=1100100100010

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

ModelLicence · permissionsParamsContextReleaseBest resultsProvidersFit 64 GB @4bit · 128 GB @8bit Estimated
GKA-primed-HQwen3-8B-ReasonerOpen weightsAmazon Web ServicesApache-2.08.5B31 Mar 20260✓ fits5.4 GB4bit✓ fits10.3 GB8bit
GLM-4-9B-0414Open weightsZ.ai (Zhipu AI)unclassified0
GLM-4.1V-9B-ThinkingOpen weightsZ.ai (Zhipu AI)MIT10.3B28 Jun 20250✓ fits6.4 GB4bit✓ fits12.3 GB8bit
GLM-4.6V-FlashOpen weightsZ.ai (Zhipu AI)MIT10.3B7 Dec 20250✓ fits6.4 GB4bit✓ fits12.3 GB8bit
GLM-ASR-Nano-2512Open weightsZ.ai (Zhipu AI)MIT2.26B9 Dec 20250✓ fits1.8 GB4bit✓ fits3.1 GB8bit
GLM-OCROpen weightsZ.ai (Zhipu AI)MIT1.33B30 Jan 20260✓ fits1.3 GB4bit✓ fits2.0 GB8bit
GPT-JT-6B-v1Open weightsTogether AIApache-2.06B24 Nov 20220✓ fits4.0 GB4bit✓ fits7.4 GB8bit
GPT-NeoXT-Chat-Base-20BOpen weightsTogether AIApache-2.020B3 Mar 20230✓ fits12.0 GB4bit✓ fits23.5 GB8bit
Gemma 2 27BOpen weightsGoogle · textunclassified8.19K13 Jul 20241from $0.65 out
Grug-12BOpen weightskai-osunclassified0
Hermes 3 405B InstructOpen weightsNous Research · textunclassified131.1K16 Aug 20241from $1 out
Hermes-2-Pro-Llama-3-8BOpen weightsNous Researchunclassified0
Hermes-2-Theta-Llama-3-8BOpen weightsNous ResearchApache-2.08.03B5 May 20240✓ fits5.1 GB4bit✓ fits9.7 GB8bit
Hermes-3-Llama-3.1-8Brestricted-weightsNous ResearchLlama-3-Community8.03B28 Jul 20240✓ fits5.1 GB4bit✓ fits9.7 GB8bit
Hunyuan A13B InstructOpen weightsTencent · textOther80.4B13B active131.1K25 Jun 20251from $0.57 out✓ fits46.7 GB4bit✓ fits93.0 GB8bit
Hunyuan-7B-InstructOpen weightsTencentunclassified7.5B30 Jul 20250✓ fits4.8 GB4bit✓ fits9.1 GB8bit
Hunyuan-7B-PretrainOpen weightsTencentunclassified0
Hunyuan3D-2Open weightsTencentOther20 Jan 20250
Hunyuan3D-2.1Open weightsTencentOther13 Jun 20250
Hunyuan3D-2miniOpen weightsTencentOther12 Mar 20250
HunyuanImage-3.0-InstructOpen weightsTencentOther83B25 Sept 20250✓ fits48.2 GB4bit✓ fits96.0 GB8bit
HunyuanOCROpen weightsTencentOther1.12B18 Nov 20250✓ fits1.1 GB4bit✓ fits1.8 GB8bit
Hy-MT2-1.8BOpen weightsTencent · textApache-2.02.04B8.19K11 May 20261from $0.177 out✓ fits1.7 GB4bit✓ fits2.9 GB8bit
Hy-MT2-30B-A3BOpen weightsTencent · textApache-2.030.1B3B active8.19K11 May 20261from $0.295 out✓ fits17.8 GB4bit✓ fits35.1 GB8bit
Hy-MT2-7BOpen weightsTencent · textApache-2.08.03B8.19K11 May 20261from $0.295 out✓ fits5.1 GB4bit✓ fits9.7 GB8bit
Hy4 previewOpen weightsTencent · textunclassified1.05M28 Aug 20261from $2.5 out
Intern-S1Open weightsInternLM (Shanghai AI Laboratory)Apache-2.0240.7B24 Jul 20250✗ too large138.9 GB4bit✗ too large277.3 GB8bit
Intern-S1-ProOpen weightsInternLM (Shanghai AI Laboratory)Apache-2.02 Feb 20260
Intern-S1-miniOpen weightsInternLM (Shanghai AI Laboratory)Apache-2.08.54B18 Aug 20250✓ fits5.4 GB4bit✓ fits10.3 GB8bit
InternVL3-1B-InstructOpen weightsOpenGVLabunclassified0
Jamba-tiny-devOpen weightsAI21 LabsApache-2.0318.7M3 Sept 20240✓ fits0.7 GB4bit✓ fits0.9 GB8bit
Jamba-tiny-randomOpen weightsAI21 LabsApache-2.0127.7M17 Apr 20240✓ fits0.6 GB4bit✓ fits0.7 GB8bit
Jamba-tiny-reward-devOpen weightsAI21 LabsApache-2.0318.7M5 Dec 20240✓ fits0.7 GB4bit✓ fits0.9 GB8bit
Jamba-v0.1Open weightsAI21 LabsApache-2.051.6B28 Mar 20240✓ fits30.2 GB4bit✓ fits59.8 GB8bit
KAT-Coder-V2.5-DevOpen weightsKwaipilotunclassified0
KaLM-Embedding-Gemma3-12B-2511Open weightsTencentOther11.8B4 Nov 20250✓ fits7.3 GB4bit✓ fits14.0 GB8bit
Kimi-Audio-7BOpen weightsMoonshot AIMIT9.77B25 Apr 20250✓ fits6.1 GB4bit✓ fits11.7 GB8bit
Kimi-Audio-7B-InstructOpen weightsMoonshot AIMIT9.77B25 Apr 20250✓ fits6.1 GB4bit✓ fits11.7 GB8bit
Kimi-Dev-72BOpen weightsMoonshot AIMIT72.7B16 Jun 20250✓ fits42.3 GB4bit✓ fits84.1 GB8bit
Kimi-K2-BaseOpen weightsMoonshot AIOther1.03T3 Jul 20250✗ too large590.7 GB4bit✗ too large1180.9 GB8bit
Kimi-Linear-48B-A3B-BaseOpen weightsMoonshot AIMIT49.1B3B active30 Oct 20250✓ fits28.7 GB4bit✓ fits57.0 GB8bit
Kimi-VL-A3B-InstructOpen weightsMoonshot AIMIT16.4B3B active9 Apr 20250✓ fits9.9 GB4bit✓ fits19.4 GB8bit
Kimi-VL-A3B-ThinkingOpen weightsMoonshot AIMIT16.4B3B active9 Apr 20250✓ fits9.9 GB4bit✓ fits19.4 GB8bit
Kimi-VL-A3B-Thinking-2506Open weightsMoonshot AIMIT16.4B3B active21 Jun 20250✓ fits9.9 GB4bit✓ fits19.4 GB8bit
LFM2-VL-1.6BOpen weightsLiquid AIOther1.58B12 Aug 20250✓ fits1.4 GB4bit✓ fits2.3 GB8bit
LFM2.5-1.2B-BaseOpen weightsLiquid AIunclassified0
LFM2.5-2.6B-BaseOpen weightsLiquid AIunclassified0
LFM2.5-2.6B-DSparkOpen weightsLiquid AIunclassified0
LFM2.5-230MOpen weightsLiquid AIOther229.7M24 Jun 20260✓ fits0.6 GB4bit✓ fits0.8 GB8bit
LFM2.5-230M-BaseOpen weightsLiquid AIunclassified0

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