Intel AI Models
Tracked by OpenModelStats since Aug 23, 2026 · View on Hugging Face ↗
- Tracked modelsRepositories from this publisher currently tracked by OpenModelStats.
- 96
- Downloads 30DSum of each tracked model's rolling recent-downloads counter. A sum of repository counters is not a count of unique users.
- 1.2M
- Total downloadsSum of cumulative all-time download counters across tracked repositories.
- 67.9M
- Total likes
- 1,968
- Gained 7DCombined seven-day cumulative-download gains measured by OpenModelStats.
- 299.5K
Most downloaded
- 1dpt-hybrid-midasFeb 9, 2024655.5K
- 2Qwen3.5-122B-A10B-int4-AutoRoundApr 16, 2026126.7K
- 3gemma-4-31B-it-int4-AutoRoundMay 1, 202679.4K
- 4zoedepth-nyu-kittiMay 20, 202448.7K
- 5dpt-largeFeb 24, 202438.9K
- 6Qwen3.8-Flash-Next-W4A16-AutoRoundAug 31, 202636.4K
- 7bert-base-uncased-mrpcJun 21, 202436.3K
- 8Qwen2-0.5B-Instruct-int4-sym-AutoRoundSep 11, 202527.1K
- 9tvp-baseMar 29, 202423.9K
- 10Qwen3.6-27B-int4-AutoRoundMay 21, 202619.6K
Fastest growing
- 1dpt-hybrid-midas+163.2K in 7D655.5K
- 2Qwen3.5-122B-A10B-int4-AutoRound+39.9K in 7D126.7K
- 3gemma-4-31B-it-int4-AutoRound+16.8K in 7D79.4K
- 4zoedepth-nyu-kitti+12.7K in 7D48.7K
- 5dpt-large+9,755 in 7D38.9K
- 6Qwen2-0.5B-Instruct-int4-sym-AutoRound+9,246 in 7D27.1K
- 7bert-base-uncased-mrpc+7,436 in 7D36.3K
- 8tvp-base+6,805 in 7D23.9K
- 9Qwen3.8-Flash-Next-W4A16-AutoRound+6,557 in 7D36.4K
- 10Qwen3.6-27B-int4-AutoRound+5,360 in 7D19.6K
Recently updated
- 1qwen3.8-27B-int4-ovSep 24, 20260
- 2running-detectionSep 10, 202623
- 3heatmap-generationSep 10, 202610
- 4light-level-anomaly-detectionSep 10, 20269
- 5scene-change-detectionSep 10, 20269
- 6motion-detectionSep 10, 20268
- 7ocr-text-recognitionSep 10, 202647
- 8face-matchingSep 10, 202628
- 9facial-recognitionSep 10, 202640
- 10delivery-package-verificationSep 10, 202627
All models
| Model | DL 30D | 7D |
|---|---|---|
| dpt-hybrid-midasintel/dpt-hybrid-midas | 655.5K | +163.2K |
| Qwen3.5-122B-A10B-int4-AutoRoundintel/qwen3.5-122b-a10b-int4-autoround | 126.7K | +39.9K |
| gemma-4-31B-it-int4-AutoRoundintel/gemma-4-31b-it-int4-autoround | 79.4K | +16.8K |
| zoedepth-nyu-kittiintel/zoedepth-nyu-kitti | 48.7K | +12.7K |
| dpt-largeintel/dpt-large | 38.9K | +9,755 |
| Qwen3.8-Flash-Next-W4A16-AutoRoundintel/qwen3.8-flash-next-w4a16-autoround | 36.4K | +6,557 |
| bert-base-uncased-mrpcintel/bert-base-uncased-mrpc | 36.3K | +7,436 |
| Qwen2-0.5B-Instruct-int4-sym-AutoRoundintel/qwen2-0.5b-instruct-int4-sym-autoround | 27.1K | +9,246 |
| tvp-baseintel/tvp-base | 23.9K | +6,805 |
| Qwen3.6-27B-int4-AutoRoundintel/qwen3.6-27b-int4-autoround | 19.6K | +5,360 |
| zoedepth-nyuintel/zoedepth-nyu | 16.9K | +4,721 |
| neural-chat-7b-v3-3intel/neural-chat-7b-v3-3 | 14.6K | +3,356 |
| Qwen3.6-35B-A3B-int4-mixed-AutoRoundintel/qwen3.6-35b-a3b-int4-mixed-autoround | 12.7K | +750 |
| polite-guardintel/polite-guard | 9,432 | +314 |
| Qwen3-Coder-Next-int4-AutoRoundintel/qwen3-coder-next-int4-autoround | 5,488 | +2,041 |
| Qwen3.5-9B-int4-AutoRoundintel/qwen3.5-9b-int4-autoround | 5,226 | +1,345 |
| GLM-5.3-Flash-W4A16-AutoRoundintel/glm-5.3-flash-w4a16-autoround | 5,153 | +829 |
| Mistral-Small-3.2-24B-Instruct-2506-int4-AutoRoundintel/mistral-small-3.2-24b-instruct-2506-int4-autoround | 4,272 | +553 |
| sd-1.5-square-quantizedintel/sd-1.5-square-quantized | 3,879 | +826 |
| tiny-random-gpt2intel/tiny-random-gpt2 | 3,314 | +580 |
| dpt-large-adeintel/dpt-large-ade | 2,671 | +923 |
| Qwen3.8-27B-bpw2.8-AutoRoundintel/qwen3.8-27b-bpw2.8-autoround | 2,351 | +565 |
| Qwen3.5-397B-A17B-int4-AutoRoundintel/qwen3.5-397b-a17b-int4-autoround | 2,200 | +408 |
| Qwen3-8B-w2g64-for-utintel/qwen3-8b-w2g64-for-ut | 1,862 | +499 |
| dpt-swinv2-tiny-256intel/dpt-swinv2-tiny-256 | 1,729 | +580 |