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intel / auto-round

Advanced Quantization Algorithm for LLMs. This is official implementation of "Optimize Weight Rounding via Signed Gradient Descent for the Quantization of LLMs"
https://arxiv.org/abs/2309.05516
Apache License 2.0
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Serialization in multiple formats #234

Closed benjamin-marie closed 2 months ago

benjamin-marie commented 2 months ago

When I serialize the model, I would like to serialize with all the formats available, e.g., GPTQ, AWQ, and AutoRound. However, it doesn't seem possible. If I first save with GPTQ format and then try AutoRound format, it doesn't work. Is the model discarded from memory once the model is serialized? It seems that I have to rerun the quantization and then serialize it to another format.

wenhuach21 commented 2 months ago

if you are using the interface，set the inplace to false in save_quantized. if you are using the example， we will support it tomorrow

benjamin-marie commented 2 months ago

in_place is what I was looking for. I'm not sure how I didn't see it! Thanks a lot.