This repository contains the experimental PyTorch native float8 training UX
active 2023-11-17 → 2025-04-24 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 525 days from 2023-11-17 to 2025-04-24. Pushes: 691 total, peak 63 in a day. Pull requests: 306 total, peak 26 in a day. Issues: 80 total, peak 27 in a day. Comments: 958 total, peak 36 in a day. Stars: 218 total, peak 26 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| vkuzo | 777 | 175 | 104 | 282 |
| drisspg | 706 | 204 | 39 | 221 |
| facebook-github-bot | 392 | 84 | 102 | 204 |
| awgu | 346 | 165 | 24 | 86 |
| weifengpy | 112 | 2 | 7 | 47 |
| wanchaol | 103 | 34 | 9 | 29 |
| y-sq | 74 | 27 | 13 | 18 |
| bdhirsh | 45 | 0 | 3 | 20 |
| alugorey | 22 | 0 | 1 | 15 |
| ani300 | 9 | 0 | 1 | 6 |
| malfet | 9 | 0 | 0 | 3 |
| voznesenskym | 9 | 0 | 0 | 4 |
| yifuwang | 5 | 0 | 0 | 3 |
| msaroufim | 4 | 0 | 0 | 1 |
| yitzhaklevi | 4 | 0 | 0 | 0 |
| albanD | 4 | 0 | 0 | 3 |
| snarayan21 | 4 | 0 | 0 | 3 |
| zou3519 | 4 | 0 | 0 | 2 |
| cyang49 | 3 | 0 | 2 | 1 |
| mabeto5p | 3 | 0 | 0 | 1 |
Recent activity
Latest issues, pull requests and releases
- Issue comment#314vkuzo2024-07-30 16:44[RFC] Float8 Inference
- Issue#314vkuzo2024-07-30 16:44[RFC] Float8 Inference
- Issue comment#292vkuzo2024-07-30 15:53Float8Tensor.to_original_precision() returns wrong dtype
- Issue#292vkuzo2024-07-30 15:53Float8Tensor.to_original_precision() returns wrong dtype
- Issue#280vkuzo2024-07-30 15:53Docs should say what's the smallest model users will see a benefit for
- Issue comment#280vkuzo2024-07-30 15:53Docs should say what's the smallest model users will see a benefit for
- Issue comment#279vkuzo2024-07-30 15:52Expected trailing dimension of mat1 to be divisible by 16 but got mat1 shape
- Issue#279vkuzo2024-07-30 15:52Expected trailing dimension of mat1 to be divisible by 16 but got mat1 shape
- Issue#274vkuzo2024-07-30 15:50[QST] Dynamic Scaling
- Issue#267vkuzo2024-07-30 15:48delayed scaling safety logic currently doesn't work with activation checkpointing
- Issue comment#267vkuzo2024-07-30 15:48delayed scaling safety logic currently doesn't work with activation checkpointing
- Issue comment#259vkuzo2024-07-30 15:47memory alignment issue in torch.compile mode
- Issue#259vkuzo2024-07-30 15:47memory alignment issue in torch.compile mode
- Issue#257vkuzo2024-07-30 15:46Float8Linear does not support autocast
- Issue comment#257vkuzo2024-07-30 15:46Float8Linear does not support autocast
- Issue comment#249vkuzo2024-07-30 15:45investigate cuda graphs + dynamic scaling leading to memory fragmentations
- Issue#249vkuzo2024-07-30 15:45investigate cuda graphs + dynamic scaling leading to memory fragmentations
- Issue comment#246vkuzo2024-07-30 15:45add configuration of precision for all 3 gemms
- Issue#246vkuzo2024-07-30 15:45add configuration of precision for all 3 gemms
- Issue comment#245vkuzo2024-07-30 15:44add option to use fast accumulation in the float8 matmul
- Issue#245vkuzo2024-07-30 15:44add option to use fast accumulation in the float8 matmul
- Issue comment#243vkuzo2024-07-30 15:44addmm implemented incorrectly
- Issue#243vkuzo2024-07-30 15:44addmm implemented incorrectly
- Issue comment#238vkuzo2024-07-30 15:43torch.inference_mode switches`aten.linear.default, this is not supported`
- Issue#238vkuzo2024-07-30 15:43torch.inference_mode switches`aten.linear.default, this is not supported`
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 218 stars here means stars gained during the window, not the repo's star count.