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add support for Magistral-Small #980

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Merged
merged 2 commits into from
Nov 4, 2025
Merged

add support for Magistral-Small #980

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b2b727b
add support for Magistral-Small
n1ck-guo Nov 3, 2025
2144e58
update
n1ck-guo Nov 4, 2025
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4 changes: 3 additions & 1 deletion auto_round/compressors/mllm/compressor.py
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Original file line number Diff line number Diff line change
Expand Up @@ -27,6 +27,7 @@
from auto_round.logger import logger
from auto_round.schemes import QuantizationScheme
from auto_round.special_model_handler import (
MISTRAL_3_2_MODELS,
NOT_SUPPORT_ONLY_TEXT_MODELS,
SUPPORT_ONLY_TEXT_MODELS,
_handle_special_model,
Expand Down Expand Up @@ -164,6 +165,7 @@ def __init__(
seed: int = 42,
**kwargs,
):

extra_data_dir = kwargs.pop("extra_data_dir", None)
template = kwargs.pop("template", None)

Expand All @@ -189,7 +191,7 @@ def __init__(

if model.config.model_type == "llava" and isinstance(model, PreTrainedModel):
template = "default"
if hasattr(model, "name_or_path") and "Mistral-Small-3.2" in model.name_or_path:
if hasattr(model, "name_or_path") and any([name in model.name_or_path for name in MISTRAL_3_2_MODELS]):
template = "mistral3_2"
if iters > 0:
self.template = template if template is not None else model.config.model_type
Expand Down
2 changes: 2 additions & 0 deletions auto_round/special_model_handler.py
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Expand Up @@ -39,6 +39,8 @@

CONVERT_EXPERT_TO_LINEAR_MODELS = ["llama4", "gpt_oss"]

MISTRAL_3_2_MODELS = ["Mistral-Small-3.2", "Magistral-Small", "Devstral-Small"]


def _get_moe_converter(config):
# Dispatch table for model_type to replacement_info functions
Expand Down
4 changes: 3 additions & 1 deletion auto_round/utils/model.py
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Original file line number Diff line number Diff line change
Expand Up @@ -307,6 +307,8 @@ def mllm_load_model(
model_dtype: str = None,
**kwargs,
):
from auto_round.special_model_handler import MISTRAL_3_2_MODELS

assert platform.lower() in [
"hf",
"model_scope",
Expand Down Expand Up @@ -410,7 +412,7 @@ def mllm_load_model(
else:
raise

if "Mistral-Small-3.2" in pretrained_model_name_or_path:
if any([name in model.name_or_path for name in MISTRAL_3_2_MODELS]):
from mistral_common.tokens.tokenizers.mistral import MistralTokenizer # pylint: disable=E0401

if os.path.isdir(pretrained_model_name_or_path):
Expand Down