Closed westn closed 1 year ago
cc @younesbelkada
Hi @westn Thanks for the issue, I don't think 4bit models are serializable yet. Let me double check that with the author of bitsandbytes and get back to you
Also note that 4bit / 8bit is also applicable to GPU / CUDA devices, you cannot run quantized models with bitsandbytes on a CPU device
Hi @westn Currently it is not possible to save 4bit models but this is in the roadmap of bitsandbytes for the next releases. We will keep you posted!
Hi, @younesbelkada , Whether 4bits/8bits models can be saved now?
Hi @jameswu2014 Thanks for the heads up, currently 4bit saving is not possible, however, 8bit saving is possible, check: https://huggingface.co/docs/transformers/main_classes/quantization#push-quantized-models-on-the-hub
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See linked bnb issue: https://github.com/TimDettmers/bitsandbytes/issues/695
Bumping this since this is a top Google result for this topic, and I haven't found an answer elsewhere - is there any way to "de-quantize" a model which was trained in 4-bit or 8-bit (without a peft adapter) so it can be saved and loaded in bfloat16 or some other type? (This is currently a blocker to training checkpointing, which also means things like early stopping are not possible).
I tried basic things like model.to(torch.blfoat16)
but it throws an error stating that bitsandbytes models can't be cast with to
.
Is there any update on this? @nathan-az @younesbelkada
hi @kbulutozler Yes, @poedator is working on it in https://github.com/huggingface/transformers/pull/26037 and the corresponding bnb PR is here: https://github.com/TimDettmers/bitsandbytes/pull/753
With the latest version of bitsandbytes (0.39.0) library, isn't it possible to serialize 4-bit models then?
Thus this section should be updated to allow the user to save these models. https://github.com/huggingface/transformers/blob/68d53bc7178866821282f45732c1e465f5160fa6/src/transformers/modeling_utils.py#LL1704C36-L1704C36
I'm mainly looking at this article to see what got produced lately in the area: https://huggingface.co/blog/4bit-transformers-bitsandbytes
I aim to quantize a model to 4-bit, enabling it to be used in e.g., GPT4all and other CPU platforms.