Nemo gym integration (#3516) [skip ci]

* nemo gym integration with grpo wip

* mostly working

* cleanup

* simplify

* update docs

* nemo gym support wip

* cleanup

* chore: lint

* address PR review and add more tests

* chore: lint

* post merge lora fixes for CI (#3536) [skip ci]

* post merge lora fixes for CI

* handle lora kernel auto-enable for moe without grouped_mm

* prefer not to import torch in schema validation

* address pr comments, add timeout, add tests

* roundup_power2_divisions not needed with newer pytorch versions (#3540)

* roundup_power2_divisions not needed with newer pytorch versions

* remove typo

* update qwen3.5 moe 35b-a3b yaml for 5090

* more bug fixes

* fix tests to match updated trainer

* don't use fa2 for hooks test

* reset plugins on the instance

* retry download

* fix references to renamed axolotl_cfg property on trainer

* Fix ref to trainer cfg

* fix: robust handling of race condition on patching check (#3543) [skip ci]

* EBFT: Matching Features, Not Tokens: Energy-Based Fine-Tuning of Language Models (#3527) [skip ci]

* EBFT wip

* fixes

* more fixeS

* add missing strided module

* ebft fixes for multi-turn

* make ebft work with async

* add example for ebft w qwen3.5

* fix for split thinking and update yaml for lora over linear attention only

* enforce_eager for vllm arg in schema

* fix sync weights

* fix multi-gpu

* handle updated sig for mm

* ddp fixes

* improve multi-gpu handling, don't calculate logits, adaptive completion length

* chore: lint

* chore: lint

* support completion_mean

* Address corereview feedback

* clamp min IS ratio

* Address PR code review

* more fixes identified

* address code review

* Fix property from rebase conflict

* fix for ebft sync and update docs

* make trainer loss patch check a solo test

---------

Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

tests/monkeypatch/test_trainer_loss_calc.py

@@ -1,26 +0,0 @@
-"""Unit tests for trainer loss calc monkeypatch."""
-
-import unittest
-
-from axolotl.monkeypatch.transformers.trainer_loss_calc import (
-    check_evaluation_loop_is_patchable,
-    check_maybe_log_save_evaluate_is_patchable,
-)
-
-
-class TestTrainerLossCalc(unittest.TestCase):
-    """
-    Unit test class for trainer loss calc monkeypatch
-    """
-
-    def test_trainer_loss_calc_is_patchable(self):
-        """
-        Test that the upstream transformers code is still patchable. This will fail if
-        the patched code changes upstream.
-        """
-        assert check_evaluation_loop_is_patchable()
-        assert check_maybe_log_save_evaluate_is_patchable()
-
-
-if __name__ == "__main__":
-    unittest.main()