Mistral releases Timestral probabilistic forecasting models

Small, CPU-efficient forecasting models broaden usable AI beyond GPUs and chatbots.

Timestral is Mistral's new family of probabilistic forecasting models in four sizes from 5M to 209M parameters. They run efficiently on CPU and work zero-shot without task-specific training.

Name

Timestral

Params

5M-209M

Read it at Mistral AI → 💬 1 on HN

Coverage: 37 sources, in order

1. 15 Oct 12:00 Mistral AI Read the article →
2. 15 Oct 12:00 Engadget Read the article →
3. 15 Oct 12:00 Tom's Guide Read the article →
4. 15 Oct 12:00 The Verge Read the article →
5. 15 Oct 12:00 Engadget Read the article →
6. 15 Oct 12:00 Creative Bloq Read the article →
7. 15 Oct 12:00 The Verge Read the article →
8. 15 Oct 12:00 Tom's Guide Read the article →
9. 15 Oct 12:00 Tom's Hardware Read the article →
10. 15 Oct 12:00 Tom's Hardware Read the article →
11. 15 Oct 12:00 Gizmodo Read the article →
12. 15 Oct 12:36 Creative Bloq Read the article →
13. 15 Oct 12:38 VideoCardz.com Read the article →
14. 15 Oct 13:00 Engadget Read the article →
15. 15 Oct 13:00 Engadget Read the article →
16. 15 Oct 13:00 Gizmodo Read the article →
17. 15 Oct 13:09 HotHardware Read the article →
18. 15 Oct 14:30 The Verge Read the article →
19. 15 Oct 14:30 The Verge Read the article →
20. 15 Oct 15:08 mistral.ai Read the article →
21. 15 Oct 15:32 Reddit Read the article →
22. 15 Oct 15:40 Tech Edition Read the article →
23. 15 Oct 16:00 The Verge Read the article →
24. 15 Oct 16:28 Mezha.net Read the article →
25. 15 Oct 16:39 Thurrott.com Read the article →
26. 15 Oct 17:00 NVIDIA Blog Read the article →
27. 15 Oct 17:02 Voice of Alexandria Read the article →
28. 15 Oct 17:03 NVIDIA Blog Read the article →
29. 15 Oct 17:03 NVIDIA Newsroom Read the article →
30. 15 Oct 17:09 PCMag Read the article →
31. 15 Oct 17:24 Breakingthenews.net Read the article →
32. 15 Oct 17:24 Unite.AI Read the article →
33. 15 Oct 18:03 Pulse 2.0 Read the article →
34. 15 Oct 18:27 Jon Peddie Research Read the article →
35. 15 Oct 18:33 GuruFocus Read the article →
36. 15 Oct 18:46 Tom's Guide Read the article →
37. 15 Oct 19:34 Investing News Network Read the article →

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