feat: add quantize_model() fn & a MidnightRose70B #79
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sambarnes
commented
Mar 15, 2024
| logger.info(f"Volume now contains {quantized_model_path}") | ||
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| def load_open_instruct(tokenizer, n_samples=128): |
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this calibration dataset loading is mostly forked from the examples here:
https://github.com/AutoGPTQ/AutoGPTQ/blob/main/examples/quantization/quant_with_alpaca.py
where instead of reading from a json file, we sample from this dataset instead:
https://huggingface.co/datasets/VMware/open-instruct
only adjustments to the code were to limit number of samples & change column labels for the dataset
louisgv
reviewed
Mar 22, 2024
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Details
without a calibration dataset:
https://huggingface.co/sambarnes/Midnight-Rose-70B-v2.0.3-GPTQ-naive
with a calibration dataset (VMWare/open-instruct):
https://huggingface.co/sambarnes/Midnight-Rose-70B-v2.0.3-GPTQ
upon further testing: i couldnt actually notice a difference between the two, so gonna just use the not naive one
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