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Abhishek Rai (Nokast) is the AI lab behind the models on this page. Browse their full catalog ranked by benchmarks, popularity, and hardware fit.
Models tracked
1
Open weight
1
API only
0
Avg score
47.3
Top benchmark
44.6
JevBench
Total HF downloads
48
First release
Sep 2026
Latest release
Sep 2026
Ranked by composite score across benchmarks, popularity, efficiency, and versatility.
| # | Model | Modality | Score | Params | Released |
|---|---|---|---|---|---|
| 1 | decision | CC47.3 | 4.2B | Sep 2026 |
The strongest model from this provider in each modality. Click a card to open the model page.
How this provider’s catalog splits across text, image, video, audio, embedding, and decision models.
Composite grades across this provider’s catalog. Higher is better, blending benchmarks, popularity, and efficiency.
Models with downloadable weights, ranked by composite score.
| # | Model | Modality | Score | Params | Released |
|---|---|---|---|---|---|
| 1 | decision | CC47.3 | 4.2B | Sep 2026 |
Abhishek Rai (Nokast) ships 1 model that we track. Of those, 1 are open weight and 0 are accessed through their API.
It depends on the model. See the open-weight section above for models you can run locally, and the API-only section for closed models priced per token.
By composite score, spark-s1-4b v6 is currently the top Abhishek Rai (Nokast) model in our directory. Composite score blends benchmarks, popularity, efficiency, and versatility.
Full Directory
Open the full directory to filter by hardware, capability, license, and benchmark score.
Open Directory
See every release in a family side by side, with a timeline and a leaderboard. Useful when you have already picked a series and want the right size.
