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>
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@@ -83,6 +83,12 @@ def download_smollm2_135m_model():
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snapshot_download_w_retry("HuggingFaceTB/SmolLM2-135M", repo_type="model")
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@pytest.fixture(scope="session", autouse=True)
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def download_smollm2_135m_instruct_model():
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# download the model
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snapshot_download_w_retry("HuggingFaceTB/SmolLM2-135M-Instruct", repo_type="model")
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@pytest.fixture(scope="session", autouse=True)
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def download_smollm2_135m_gptq_model():
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# download the model
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@@ -143,12 +149,20 @@ def download_argilla_distilabel_intel_orca_dpo_dataset():
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)
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# @pytest.fixture(scope="session", autouse=True)
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# def download_argilla_ultrafeedback_binarized_preferences_cleaned_dataset():
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# # download the dataset
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# snapshot_download_w_retry(
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# "argilla/ultrafeedback-binarized-preferences-cleaned", repo_type="dataset"
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# )
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@pytest.fixture(scope="session", autouse=True)
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def download_argilla_ultrafeedback_binarized_preferences_cleaned_dataset():
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# download the dataset
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snapshot_download_w_retry(
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"argilla/ultrafeedback-binarized-preferences-cleaned", repo_type="dataset"
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)
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@pytest.fixture(scope="session", autouse=True)
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def download_argilla_ultrafeedback_binarized_preferences_cleaned_kto_dataset():
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# download the dataset
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snapshot_download_w_retry(
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"argilla/ultrafeedback-binarized-preferences-cleaned-kto", repo_type="dataset"
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)
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# @pytest.fixture(scope="session", autouse=True)
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@@ -251,7 +265,9 @@ def download_llama_1b_model_fixture():
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def download_llama3_8b_model_fixture():
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# download the tokenizer only
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snapshot_download_w_retry(
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"NousResearch/Meta-Llama-3-8B", repo_type="model", allow_patterns=["*token*"]
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"NousResearch/Meta-Llama-3-8B",
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repo_type="model",
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allow_patterns=["*token*", "config.json"],
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)
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@@ -261,7 +277,7 @@ def download_llama3_8b_instruct_model_fixture():
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snapshot_download_w_retry(
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"NousResearch/Meta-Llama-3-8B-Instruct",
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repo_type="model",
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allow_patterns=["*token*"],
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allow_patterns=["*token*", "config.json"],
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)
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@@ -269,7 +285,19 @@ def download_llama3_8b_instruct_model_fixture():
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def download_phi_35_mini_model_fixture():
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# download the tokenizer only
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snapshot_download_w_retry(
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"microsoft/Phi-3.5-mini-instruct", repo_type="model", allow_patterns=["*token*"]
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"microsoft/Phi-3.5-mini-instruct",
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repo_type="model",
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allow_patterns=["*token*", "config.json"],
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)
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@pytest.fixture(scope="session", autouse=True)
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def download_phi_4_reasoning_model_fixture():
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# download the tokenizer only
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snapshot_download_w_retry(
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"microsoft/Phi-4-reasoning",
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repo_type="model",
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allow_patterns=["*token*", "config.json"],
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)
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@@ -279,7 +307,7 @@ def download_phi_3_medium_model_fixture():
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snapshot_download_w_retry(
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"microsoft/Phi-3-medium-128k-instruct",
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repo_type="model",
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allow_patterns=["*token*"],
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allow_patterns=["*token*", "config.json"],
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)
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@@ -562,6 +590,8 @@ def test_load_fixtures(
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download_mhenrichsen_alpaca_2k_dataset,
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download_mhenrichsen_alpaca_2k_w_revision_dataset,
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download_mlabonne_finetome_100k_dataset,
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download_argilla_ultrafeedback_binarized_preferences_cleaned_dataset,
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download_argilla_ultrafeedback_binarized_preferences_cleaned_kto_dataset,
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download_argilla_distilabel_capybara_dpo_7k_binarized_dataset,
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download_arcee_ai_distilabel_intel_orca_dpo_pairs_dataset,
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download_argilla_dpo_pairs_dataset,
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@@ -573,6 +603,7 @@ def test_load_fixtures(
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download_llama3_8b_instruct_model_fixture,
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download_phi_35_mini_model_fixture,
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download_phi_3_medium_model_fixture,
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download_phi_4_reasoning_model_fixture,
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download_mistral_7b_model_fixture,
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download_gemma_2b_model_fixture,
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download_gemma2_9b_model_fixture,
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