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---
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license: apache-2.0
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---
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# Qwen2.5-7B-Instruct-FP8-dynamic
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Quantized version of [Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct).
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## Creation
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This model was created with [llm-compressor](https://github.com/vllm-project/llm-compressor) by running the code snippet
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below.
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```python
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from llmcompressor.modifiers.quantization import QuantizationModifier
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from llmcompressor.transformers import oneshot
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from transformers import AutoModelForCausalLM, AutoTokenizer
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# Load model
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model_stub = "Qwen/Qwen2.5-7B-Instruct"
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model_name = model_stub.split("/")[-1]
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model = AutoModelForCausalLM.from_pretrained(
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model_stub,
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torch_dtype="auto",
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)
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tokenizer = AutoTokenizer.from_pretrained(model_stub)
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# Configure the quantization algorithm and scheme
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recipe = QuantizationModifier(
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targets="Linear",
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scheme="FP8_DYNAMIC",
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ignore=["lm_head"],
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)
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# Apply quantization
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oneshot(
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model=model,
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recipe=recipe,
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)
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# Save to disk in compressed-tensors format
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save_path = model_name + "-FP8-dynamic"
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model.save_pretrained(save_path)
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tokenizer.save_pretrained(save_path)
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print(f"Model and tokenizer saved to: {save_path}")
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```
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