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README.md
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---
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license: apache-2.0
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---
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---
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license: apache-2.0
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---
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Script for creating this. llmcompressor installed from source since it depends on something that wasn't compiled into the release at the time.
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```
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from transformers import AutoProcessor, Qwen2VLForConditionalGeneration
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from llmcompressor.modifiers.quantization import QuantizationModifier
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from llmcompressor.transformers import oneshot, wrap_hf_model_class
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MODEL_ID = "Qwen/Qwen2-VL-7B-Instruct"
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# Load model.
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model_class = wrap_hf_model_class(Qwen2VLForConditionalGeneration)
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model = model_class.from_pretrained(MODEL_ID, device_map="auto", torch_dtype="auto")
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processor = AutoProcessor.from_pretrained(MODEL_ID)
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# Configure the simple PTQ quantization
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recipe = QuantizationModifier(
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targets="Linear",
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scheme="FP8_DYNAMIC",
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ignore=["re:.*lm_head", "re:visual.*"]
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)
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# Apply the quantization algorithm.
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oneshot(model=model, recipe=recipe)
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# Save the model.
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SAVE_DIR = MODEL_ID.split("/")[1] + "-FP8-Dynamic"
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model.save_pretrained(SAVE_DIR)
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processor.save_pretrained(SAVE_DIR)
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```
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