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Save processor in quantizer CLI #3290

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Merged
salmanmohammadi merged 2 commits into from
Dec 6, 2025
Merged

Save processor in quantizer CLI #3290

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e4b6e38
fix processor save
salmanmohammadi Dec 1, 2025
44bdc87
forgot to add change : )
salmanmohammadi Dec 1, 2025
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13 changes: 12 additions & 1 deletion src/axolotl/cli/quantize.py
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Original file line number Diff line number Diff line change
Expand Up @@ -8,7 +8,7 @@
from transformers import AutoConfig, AutoModelForCausalLM, TorchAoConfig

from axolotl.cli.config import load_cfg
from axolotl.loaders import load_tokenizer
from axolotl.loaders import load_processor, load_tokenizer
from axolotl.utils.logging import get_logger
from axolotl.utils.quantization import (
TorchAOQuantDType,
Expand Down Expand Up @@ -66,6 +66,11 @@ def do_quantize(

LOG.info(f"Loading model from {model_path}.")
tokenizer = load_tokenizer(cfg)

processor = None
if cfg.is_multimodal:
processor = load_processor(cfg, tokenizer)

config = AutoConfig.from_pretrained(model_path)
torch_dtype = config.torch_dtype if hasattr(config, "torch_dtype") else None
model = AutoModelForCausalLM.from_pretrained(
Expand Down Expand Up @@ -107,13 +112,19 @@ def do_quantize(
save_jinja_files=cfg.tokenizer_save_jinja_files,
)

if processor:
LOG.info(f"Saving processor to: {str(Path(output_dir) / 'quantized')}.")
processor.save_pretrained(str(Path(output_dir) / "quantized"))

if hub_model_id:
hub_model_id = (
hub_model_id.rstrip("-")
+ f"-{quantization_config_to_str[type(quantization_config)]}"
)
model.push_to_hub(hub_model_id, safe_serialization=False)
tokenizer.push_to_hub(hub_model_id)
if processor:
processor.push_to_hub(hub_model_id)
LOG.info(f"Quantized model pushed to: {hub_model_id}.")

LOG.info(f"Quantized model saved to: {str(Path(output_dir) / 'quantized')}.")