transformers v5 upgrade (#3272)

* Prepare for transformers v5 upgrade

* fix hf cli

* update for hf hub changes

* fix tokenizer apply_chat_template args

* remap include_tokens_per_second

* fix tps

* handle migration for warmup

* use latest hf hub

* Fix scan -> ls

* fix import

* fix for renaming of mistral common tokenizer -> backend

* update for fixed tokenziation for llama

* Skip phi35 tests for now

* remove mistral patch fixed upstream in huggingface/transformers#41439

* use namespacing for patch

* don't rely on sdist for e2e tests for now

* run modal ci without waiting too

* Fix dep for ci

* fix imports

* Fix fp8 check

* fsdp2 fixes

* fix version handling

* update fsdp version tests for new v5 behavior

* Fail multigpu tests after 3 failures

* skip known v5 broken tests for now and cleanup

* bump deps

* unmark skipped test

* re-enable test_fsdp_qlora_prequant_packed test

* increase multigpu ci timeout

* skip broken gemma3 test

* reduce timout back to original 120min now that the hanging test is skipped

* fix for un-necessary collator for pretraining with bsz=1

* fix: safe_serialization deprecated in transformers v5 rc01 (#3318)

* torch_dtype deprecated

* load model in float32 for consistency with tests

* revert some test fixtures back

* use hf cache ls instead of scan

* don't strip fsdp_version

more fdsp_Version fixes for v5
fix version in fsdp_config
fix aliasing
fix fsdp_version check
check fsdp_version is 2 in both places

* Transformers v5 rc2 (#3347)

* bump dep

* use latest fbgemm, grab model config as part of fixture, un-skip test

* import AutoConfig

* don't need more problematic autoconfig when specifying config.json manually

* add fixtures for argilla ultrafeedback datasets

* download phi4-reasoning

* fix arg

* update tests for phi fast tokenizer changes

* use explicit model types for gemma3

---------

Co-authored-by: Wing Lian <wing@axolotl.ai>

* fix: AutoModelForVision2Seq -> AutoModelForImageTextToText

* chore: remove duplicate

* fix: attempt fix gemma3 text mode

* chore: lint

* ga release of v5

* need property setter for name_or_path for mistral tokenizer

* vllm not compatible with transformers v5

* setter for chat_template w mistral too

---------

Co-authored-by: NanoCode012 <nano@axolotl.ai>
Co-authored-by: salman <salman.mohammadi@outlook.com>

tests/utils/schemas/validation/test_fsdp.py

@@ -13,17 +13,29 @@ class TestFSDPValidation:
     test class for pydantic fsdp validation
     """
 
-    def test_fsdp_version_in_fsdp_config(self, min_base_cfg):
+    def test_fsdp_version_from_fsdp_config(self, min_base_cfg):
         cfg = min_base_cfg | DictDefault(
             fsdp_config={
-                "fsdp_version": 2,
+                "version": 2,
             },
         )
         cfg = validate_config(
             cfg,
         )
         assert cfg.fsdp_version == 2
-        assert cfg.fsdp_config.fsdp_version is None
+
+    def test_fsdp_version_in_fsdp_config(self, min_base_cfg):
+        cfg = min_base_cfg | DictDefault(
+            fsdp_version=2,
+            fsdp_config={
+                "reshard_after_forward": True,
+            },
+        )
+        cfg = validate_config(
+            cfg,
+        )
+        assert cfg.fsdp_version == 2
+        assert cfg.fsdp_config.fsdp_version == 2
 
     def test_fsdp_offload_w_8bit_optim(self, min_base_cfg):
         cfg = min_base_cfg | DictDefault(
@@ -116,9 +128,10 @@ class TestFSDPValidation:
         )
         cfg = validate_config(cfg)
         assert cfg.fsdp_version == 2
-        assert cfg.fsdp_config.fsdp_version is None
-        for keys in cfg.fsdp_config.keys():
-            assert not keys.startswith("fsdp_")
+        assert cfg.fsdp_config.fsdp_version == 2
+        for key in cfg.fsdp_config.keys():
+            if key != "fsdp_version":
+                assert not key.startswith("fsdp_")
         assert cfg.fsdp_config.auto_wrap_policy == "TRANSFORMER_BASED_WRAP"
         assert cfg.fsdp_config.transformer_layer_cls_to_wrap == "LlamaDecoderLayer"
         assert cfg.fsdp_config.reshard_after_forward is True