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README.md
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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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Creation script
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```python
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from llmcompressor.transformers import SparseAutoModelForCausalLM
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from transformers import AutoTokenizer
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from llmcompressor.transformers import oneshot
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from llmcompressor.modifiers.quantization import QuantizationModifier
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MODEL_ID = "teknium/OpenHermes-2.5-Mistral-7B"
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model = SparseAutoModelForCausalLM.from_pretrained(
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MODEL_ID, device_map="auto", torch_dtype="auto")
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tokenizer = AutoTokenizer.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", scheme="FP8_DYNAMIC", ignore=["lm_head"])
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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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tokenizer.save_pretrained(SAVE_DIR)
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```
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