Update bitsandbytes requirement from ==0.44.* to ==0.45.*

[dependabot]

Updates the requirements on bitsandbytes to permit the latest version.

Changelog

Sourced from bitsandbytes's changelog.

0.43.3

Improvements:

• FSDP: Enable loading prequantized weights with bf16/fp16/fp32 quant_storage
  • Background: This update, linked to [Transformer PR #32276](huggingface/transformers#32276), allows loading prequantized weights with alternative storage formats. Metadata is tracked similarly to Params4bit.__new__ post PR #970. It supports models exported with non-default quant_storage, such as this NF4 model with BF16 storage.
  • Special thanks to @​winglian and @​matthewdouglas for enabling FSDP+QLoRA finetuning of Llama 3.1 405B on a single 8xH100 or 8xA100 node with as little as 256GB system RAM.

0.43.2

This release is quite significant as the QLoRA bug fix big implications for higher seqlen and batch sizes.

For each sequence (i.e. batch size increase of one) we expect memory savings of:

• 405B: 39GB for seqlen=1024, and 4888GB for seqlen=128,00
• 70B: 10.1GB for seqlen=1024 and 1258GB for seqlen=128,00

This was due to activations being unnecessary for frozen parameters, yet the memory for them was still erroneously allocated due to the now fixed bug.

Improvements:

• docs: FSDP+QLoRA and CPU install guide (#1211 #1227, thanks @​stevhliu)
• Add CUDA 12.5 and update 12.4 builds (#1284)

Bug Fixes

• 4bit getstate and 8bit deepcopy (#1230 #1231, thanks @​BenjaminBossan)
• missing optimizers in str2optimizer32bit (#1222, thanks @​EtienneDosSantos)
• CUDA 12.5 build issue (#1273, thanks @​HennerM)
• fix for min_8bit_size functionality in Optimizer base classes (#1286, thanks @​Edenzzzz)
• QLoRA mem bug (#1270, thanks @​Ther-nullptr)
• tests for cpu only platforms (#1259, thanks @​galqiwi)
• restoration of quant_storage for CPU offloading (#1279)
• optim update error with non-contiguous grads/params (deepspeed) (#1187)

0.43.1

Improvements:

• Improved the serialization format for 8-bit weights; this change is fully backwards compatible. (#1164, thanks to @​younesbelkada for the contributions and @​akx for the review).
• Added CUDA 12.4 support to the Linux x86-64 build workflow, expanding the library's compatibility with the latest CUDA versions. (#1171, kudos to @​matthewdouglas for this addition).
• Docs enhancement: Improved the instructions for installing the library from source. (#1149, special thanks to @​stevhliu for the enhancements).

Bug Fixes

• Fix 4bit quantization with blocksize = 4096, where an illegal memory access was encountered. (#1160, thanks @​matthewdouglas for fixing and @​YLGH for reporting)

Internal Improvements:

• Tests: improve memory usage (#1147, thanks @​matthewdouglas)

... (truncated)

Commits

• 64d382d Release 0.45.0
• 81e6345 LLM.int8() Refactoring: Part 1 (#1401)
• 7dca700 [Build] Add CUDA 12.6.2 build; update 12.5.0 to 12.5.1 (#1431)
• 31eeb60 Fix invalid escape sequence warning in Python 3.12 (#1420)
• 9264f02 Fix Windows build.
• 9568735 Update CI tools & fix typos (#1386)
• c8f2769 Remove depth option in installation steps (#1395)
• 2da2f19 README: Replace special Unicode text symbols with regular characters (#1385)
• 723e216 docs: remove 2 obsolete lines
• 9b3c2b3 README.md: announce multi-backend alpha release
• Additional commits viewable in compare view

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