For PR submission
active 2024-11-01 → 2026-06-07 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 584 days from 2024-11-01 to 2026-06-07. Pushes: 8 total, peak 2 in a day. Pull requests: 14 total, peak 3 in a day. Issues: 10 total, peak 1 in a day. Comments: 18 total, peak 2 in a day. Stars: 14 total, peak 1 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 |
|---|---|---|---|---|
| dependabot[bot] | 11 | 0 | 6 | 5 |
| avizon-aws | 5 | 1 | 1 | 2 |
| awsjoshir | 4 | 3 | 1 | 0 |
| aws-singhada | 4 | 0 | 0 | 2 |
| aws-sadaf | 4 | 1 | 1 | 0 |
| natemail-aws | 3 | 2 | 1 | 0 |
| KeitaW | 2 | 0 | 1 | 0 |
| FThompsonAWS | 2 | 0 | 0 | 2 |
| dinghongsong | 2 | 0 | 0 | 2 |
| tengomucho | 2 | 0 | 0 | 1 |
| aws-guangyhu | 1 | 0 | 0 | 1 |
| ajayvohra2005 | 1 | 0 | 1 | 0 |
| akshitha-aws | 1 | 0 | 0 | 1 |
| truongp-aws | 1 | 0 | 0 | 0 |
| feicheng-aws | 1 | 0 | 0 | 0 |
| aws-dsych | 1 | 0 | 0 | 1 |
| haozhx23 | 1 | 0 | 0 | 0 |
| aws-chiaweio | 1 | 1 | 0 | 0 |
| indhub | 1 | 0 | 0 | 0 |
| fayyadd | 1 | 0 | 0 | 1 |
Recent activity
Latest issues, pull requests and releases
- Releaseaws-chiaweio2026-03-13 23:01Neuron SDK Release 2.28.0
- Issue#20aws-singhada2026-02-03 06:52Clean up of old checkpoints is crashing
- Issue#40musunita2026-01-05 19:52Llama3.1 model requires `transformers==4.31.0` and current NxD llama3 test case is not compatible with the version.
- Issue comment#40akshitha-aws2026-01-05 19:38Llama3.1 model requires `transformers==4.31.0` and current NxD llama3 test case is not compatible with the version.
- Issue comment#26avizon-aws2025-12-30 19:31`XLA_DISABLE_FUNCTIONALIZATION=0` with ZeRO-1 diverges for Mistral on NxD
- Pull request#64dependabot[bot]2025-12-20 06:01
- Pull request#64dependabot[bot]2025-12-20 06:01
- Issue comment#53dinghongsong2025-11-27 05:15Is it possible to run Llama-3.1-8B-Instruct on a trn1.2xlarge instance?
- Issue comment#57dependabot[bot]2025-11-19 01:41Bump transformers from 4.40.0 to 4.53.0 in /examples/inference
- Issue comment#59aws-guangyhu2025-10-03 20:31Potential bug with lightning
- Issue#60lifelongeeek2025-10-02 08:52Quantization for LLM models with GQA and bias has not been implemented. Is there any workaround?
- Issue#59vinayp22025-09-27 20:58Potential bug with lightning
- Issue#24athjoshi-az2025-09-26 22:27MPMD detected error when using `optimum-neuron` with TP
- Pull request#58dependabot[bot]2025-09-23 18:58
- Pull request#57dependabot[bot]2025-09-23 18:26
- Issue comment#12dependabot[bot]2025-09-15 18:57Bump transformers from 4.26.0 to 4.36.0 in /examples/training/tp_dp_gpt_neox_hf_pretrain/common
- Pull request#12dependabot[bot]2025-09-15 18:57
- Issue comment#11dependabot[bot]2025-09-15 18:57Bump transformers from 4.26.0 to 4.36.0 in /examples/training/tp_dp_bert_hf_pretrain
- Pull request#10dependabot[bot]2025-09-15 18:57
- Issue comment#8dependabot[bot]2025-09-04 20:43Bump transformers from 4.31.0 to 4.36.0 in /test/integration/llama2_70B_4layers_PP
- Pull request#8micwade-aws2025-09-04 20:43
- Issue comment#53FThompsonAWS2025-08-30 01:52Is it possible to run Llama-3.1-8B-Instruct on a trn1.2xlarge instance?
- Issue comment#53FThompsonAWS2025-08-27 06:36Is it possible to run Llama-3.1-8B-Instruct on a trn1.2xlarge instance?
- Issue comment#23aws-singhada2025-08-18 21:08neuron-distributed for inference
- Pull request#49aws-sadaf2025-08-11 18:12
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 14 stars here means stars gained during the window, not the repo's star count.