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transformers v5 upgrade (#3272)

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* 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>
This commit is contained in:
Wing Lian
2026-01-27 17:08:24 -05:00
committed by GitHub
parent a531e9d946
commit fc4e37920b
74 changed files with 262 additions and 309 deletions
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16
src/axolotl/monkeypatch/models/mistral3/mistral_common_tokenizer.py
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@@ -1,5 +1,5 @@
"""
Monkeypatch to fix inefficient tensor conversion in MistralCommonTokenizer.apply_chat_template
Monkeypatch to fix inefficient tensor conversion in MistralCommonBackend.apply_chat_template
"""
import importlib
@@ -12,11 +12,11 @@ LOG = get_logger(__name__)
def apply_mistral_tokenizer_image_patch():
"""Apply patch to MistralCommonTokenizer.apply_chat_template to fix image tensor conversion."""
from transformers.tokenization_mistral_common import MistralCommonTokenizer
"""Apply patch to MistralCommonBackend.apply_chat_template to fix image tensor conversion."""
from transformers.tokenization_mistral_common import MistralCommonBackend
# Get original source
original_source = inspect.getsource(MistralCommonTokenizer.apply_chat_template)
original_source = inspect.getsource(MistralCommonBackend.apply_chat_template)
original_source, _ = detab_code(original_source)
# Define the replacement
@@ -41,7 +41,7 @@ def apply_mistral_tokenizer_image_patch():
)
# Load necessary imports from the module
module_name = MistralCommonTokenizer.__module__
module_name = MistralCommonBackend.__module__
module = importlib.import_module(module_name)
# Detect what needs to be imported
@@ -79,7 +79,7 @@ def apply_mistral_tokenizer_image_patch():
exec(patched_source, globals()) # nosec B102
# Replace the method
MistralCommonTokenizer.apply_chat_template = patched_apply_chat_template
LOG.info("Successfully applied MistralCommonTokenizer tensor conversion patch")
MistralCommonBackend.apply_chat_template = patched_apply_chat_template
LOG.info("Successfully applied MistralCommonBackend tensor conversion patch")
else:
LOG.warning("Could not find target code for MistralCommonTokenizer patching")
LOG.warning("Could not find target code for MistralCommonBackend patching")