Feat: Add voxtral, magistral small 1.1, and misc gemma3n fixes (#2979)
* fix: lock version in gemma3n docs * feat: add sample configs and docs * chore: move mistraltokenizer into mistral folder * feat: update instructions * feat: add dynamic load voxtral * fix: remove incorrect vision config, add audio * fix: support voxtral processing strategy and address none in data * feat: patch mistraltokenizer subclass upstream and add missing * feat: update cce commit to include voxtral * fix: remove old comment * fix: gemma3 patch not needed anymore * fix: voxtral modeling code * fix: remove incorrect ds path * fix: adjust apply chat template parsing * feat: enable voxtral patch * fix: patch * feat: update example datasets * fix: target layer * feat: update gemma3n docs * feat: update voxtral docs * feat: revert assistant parsing to rely on new upstream changes * chore: skip test till next PR fix * fix: override upstream decode due to missing handling * feat: update readme * fix: update * feat: add magistral small think support * feat: update mistral-common dep * fix: lint * fix: remove optional dep * chore: typing * chore: simply import * feat(doc): update differences for 2507 * fix: coderrabbit comments * feat: update clarify docs on new transformers
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@@ -158,7 +158,7 @@ def fixture_gemma2_tokenizer():
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@pytest.fixture(name="magistral_tokenizer")
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def fixture_magistral_tokenizer():
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from axolotl.utils.mistral_tokenizer import HFMistralTokenizer
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from axolotl.utils.mistral import HFMistralTokenizer
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tokenizer = HFMistralTokenizer.from_pretrained("mistralai/Magistral-Small-2506")
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return tokenizer
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@@ -166,7 +166,7 @@ def fixture_magistral_tokenizer():
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@pytest.fixture(name="devstral_tokenizer")
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def fixture_devstral_tokenizer():
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from axolotl.utils.mistral_tokenizer import HFMistralTokenizer
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from axolotl.utils.mistral import HFMistralTokenizer
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tokenizer = HFMistralTokenizer.from_pretrained("mistralai/Devstral-Small-2505")
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return tokenizer
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@@ -174,7 +174,7 @@ def fixture_devstral_tokenizer():
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@pytest.fixture(name="devstral_1_1_tokenizer")
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def fixture_devstral_1_1_tokenizer():
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from axolotl.utils.mistral_tokenizer import HFMistralTokenizer
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from axolotl.utils.mistral import HFMistralTokenizer
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tokenizer = HFMistralTokenizer.from_pretrained("mistralai/Devstral-Small-2507")
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return tokenizer
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@@ -8,7 +8,7 @@ import pytest
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if TYPE_CHECKING:
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from transformers import PreTrainedTokenizer
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from axolotl.utils.mistral_tokenizer import HFMistralTokenizer
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from axolotl.utils.mistral import HFMistralTokenizer
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# fmt: off
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@@ -308,6 +308,7 @@ def test_mistral_chat_template(
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assert res == ["Hello", ",", " how", " are", " you", "?"]
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@pytest.mark.skip(reason="TODO, fix for new HF wrapper call")
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def test_magistral_tokenizer_pad_method(magistral_tokenizer: "HFMistralTokenizer"):
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"""Test the MistralTokenizer pad method"""
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from axolotl.utils.collators.core import IGNORE_INDEX
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@@ -750,6 +751,7 @@ def test_magistral_tool_calling(magistral_tokenizer: "HFMistralTokenizer"):
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assert "Not the same number of function calls and responses" in str(e)
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@pytest.mark.skip(reason="TODO, fix for new HF wrapper call")
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def test_magistral_tokenizer_call_method(
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magistral_tokenizer: "HFMistralTokenizer", llama3_tokenizer: "PreTrainedTokenizer"
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):
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