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Dfridman/deepseek v3#445

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ShriyaRishab merged 28 commits intomlcommons:masterfrom
denys-fridman:dfridman/deepseek-v3
Feb 26, 2026
Merged

Dfridman/deepseek v3#445
ShriyaRishab merged 28 commits intomlcommons:masterfrom
denys-fridman:dfridman/deepseek-v3

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@denys-fridman denys-fridman requested review from a team as code owners February 6, 2026 13:16
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github-actions bot commented Feb 6, 2026

MLCommons CLA bot All contributors have signed the MLCommons CLA ✍️ ✅

- Add rcps_deepseek_v3_671b.json stub with BS 16384/18432/20480,
  learning rates, warmup steps, and gradient accumulation steps
- Register deepseek_v3_671b in benchmark_meta.py (result file counts
  and allowed benchmarks for 6.0)
- Add deepseek_v3_671b to submission_runs and eval_accuracy parsing
  in rcp_checker.py
- Add deepseek_v3_671b entry to result_summarizer config.yaml
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recheck

@ShriyaRishab
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@denys-fridman - can you please complete the CLA?

Also, can you create a PR to training_rules that adds GB300 to the list of acceptable reference hardware (https://github.com/mlcommons/training_policies/blob/master/CONTRIBUTING.md#general)?

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recheck

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recheck

- KEY:
NAME: max_steps
REQ: EXACTLY_ONE
CHECK: " v['value'] == 12000 "
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Not needed for the open category. Submitters should be free to modify max_steps and LR
Only the eval dataset, eval frequency and the eval accuracy should be met in the ope category.

REQ: AT_LEAST_ONE
CHECK:
- "'samples_count' in v['metadata']"
ATLEAST_ONE_CHECK: "(v['value'] <= 4.05) and v['value'] > 0.0"
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Change to 3.6

REQ: AT_LEAST_ONE
CHECK:
- "'epoch_num' in v['metadata']"
ATLEAST_ONE_CHECK: "(v['value'] <= 4.05) and v['value'] > 0.0"
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Change to 3.6

ShriyaRishab
ShriyaRishab previously approved these changes Feb 26, 2026
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LGTM

@ShriyaRishab ShriyaRishab merged commit 2ed4284 into mlcommons:master Feb 26, 2026
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3 participants