build(deps): bump the python-packages group with 4 updates

[dependabot]

Bumps the python-packages group with 4 updates: language-tool-python, openai, ollama and transformers.

Updates language-tool-python from 2.8 to 2.8.1

Commits

• See full diff in compare view

Updates openai from 1.37.1 to 1.43.0

Release notes

Sourced from openai's releases.

v1.43.0

1.43.0 (2024-08-29)

Full Changelog: v1.42.0...v1.43.0

Features

• api: add file search result details to run steps (#1681) (f5449c0)

v1.42.0

1.42.0 (2024-08-20)

Full Changelog: v1.41.1...v1.42.0

Features

• parsing: add support for pydantic dataclasses (#1655) (101bee9)

Chores

• ci: also run pydantic v1 tests (#1666) (af2a1ca)

v1.41.1

1.41.1 (2024-08-19)

Full Changelog: v1.41.0...v1.41.1

Bug Fixes

• json schema: remove None defaults (#1663) (30215c1)

Chores

• client: fix parsing union responses when non-json is returned (#1665) (822c37d)

v1.41.0

1.41.0 (2024-08-16)

Full Changelog: v1.40.8...v1.41.0

Features

• client: add uploads.upload_file helper (aae079d)

v1.40.8

1.40.8 (2024-08-15)

Full Changelog: v1.40.7...v1.40.8

... (truncated)

Changelog

Sourced from openai's changelog.

1.43.0 (2024-08-29)

Full Changelog: v1.42.0...v1.43.0

Features

• api: add file search result details to run steps (#1681) (f5449c0)

1.42.0 (2024-08-20)

Full Changelog: v1.41.1...v1.42.0

Features

• parsing: add support for pydantic dataclasses (#1655) (101bee9)

Chores

• ci: also run pydantic v1 tests (#1666) (af2a1ca)

1.41.1 (2024-08-19)

Full Changelog: v1.41.0...v1.41.1

Bug Fixes

• json schema: remove None defaults (#1663) (30215c1)

Chores

• client: fix parsing union responses when non-json is returned (#1665) (822c37d)

1.41.0 (2024-08-16)

Full Changelog: v1.40.8...v1.41.0

Features

• client: add uploads.upload_file helper (aae079d)

1.40.8 (2024-08-15)

Full Changelog: v1.40.7...v1.40.8

Chores

• types: define FilePurpose enum (#1653) (3c2eeae)

... (truncated)

Commits

• 9850c16 release: 1.43.0
• 5d3111a feat(api): add file search result details to run steps (#1681)
• 05fa732 release: 1.42.0
• ecd6e92 feat(parsing): add support for pydantic dataclasses (#1655)
• e8c28f2 chore(ci): also run pydantic v1 tests (#1666)
• 3d780f2 release: 1.41.1
• fb5e53e chore(client): fix parsing union responses when non-json is returned (#1665)
• 54156ad fix(json schema): remove None defaults (#1663)
• 798c6cb release: 1.41.0
• 3bbb271 feat(client): add uploads.upload_file helper
• Additional commits viewable in compare view

Updates ollama from 0.3.1 to 0.3.2

Release notes

Sourced from ollama's releases.

v0.3.2

What's Changed

• Add URL path to client URL in in Client._parse_host() by @​bplunkert in ollama/ollama-python#170
• IPv6 support by @​jbinder in ollama/ollama-python#262
• Bump pytest-httpserver from 1.0.12 to 1.1.0 by @​dependabot in ollama/ollama-python#252
• Bump pytest-asyncio from 0.23.8 to 0.24.0 by @​dependabot in ollama/ollama-python#260
• Bump ruff from 0.5.5 to 0.6.2 by @​dependabot in ollama/ollama-python#261

New Contributors

• @​bplunkert made their first contribution in ollama/ollama-python#170
• @​jbinder made their first contribution in ollama/ollama-python#262

Full Changelog: ollama/ollama-python@v0.3.1...v0.3.2

Commits

• d98f646 IPv6 support (#262)
• 981015c Merge pull request #261 from ollama/dependabot/pip/ruff-0.6.2
• 9c34d81 Bump ruff from 0.5.5 to 0.6.2
• 9f2832d Merge pull request #260 from ollama/dependabot/pip/pytest-asyncio-0.24.0
• e220e46 Merge pull request #252 from ollama/dependabot/pip/pytest-httpserver-1.1.0
• dfdeb7c Add URL path to client URL in in Client._parse_host() (#170)
• 9e6726e Bump pytest-asyncio from 0.23.8 to 0.24.0
• 10d0ff2 Bump pytest-httpserver from 1.0.12 to 1.1.0
• See full diff in compare view

Updates transformers from 4.43.3 to 4.44.2

Release notes

Sourced from transformers's releases.

Release v4.44.2

Patch release v4.44.2, mostly 2 regressions that were not caught for Jamba and for processors!

• Fix: Jamba cache fails to use torch.nn.module (#32894) Authored by @​xgal
• Fix: No need to dtype A in Jamba (#32924) @​xgal
• Fix: Regression on Processor.save_pretrained caused by #31691 (#32921) Authored by @​leloykun

Patch release v4.44.1

Here are the different fixes, mostly Gemma2 context length, nits here and there, and generation issues

• is_torchdynamo_compiling -- cast a wide exception net (#32476) by @​gante
• Revert "fixes to properly shard FSDP across cpu and meta for cpu_effcient_loading for prequantized 4bit (#32276)" (#32477) by @​gante and @​matthewdouglas
• Gemma2: fix FA2 generation (#32553) by @​zucchini-nlp
• Fix: FA2 with packed training (#32487) by @​zucchini-nlp
• Fix sliding window attention used in Gemma2FlashAttention2 (#32522) by @​brcps12
• Automatically add transformers tag to the modelcard (#32623) by @​LysandreJik
• add back the position ids (#32554) by @​ArthurZucker
• Use head_dim if in config for RoPE (#32495) @​suiyoubi @​ArthurZucker
• Revert PR 32299, flag users when Zero-3 was missed (#32851) by @​muellerzr
• fix multi-gpu with static cache (#32543) by @​SunMarc
• Reduce the error log when using core models that need their weights r… (#32656) by @​muellerzr
• Fix VLM generation issues (#32836) by @​zucchini-nlp
• Fix generate with inputs_embeds as input (#32493) (this PR has some cherry-pick)

Full Changelog: huggingface/transformers@v4.44.0...v4.44.1

Release v4.44.0: End to end compile generation!!! Gemma2 (with assisted decoding), Codestral (Mistral for code), Nemotron, Efficient SFT training, CPU Offloaded KVCache, torch export for static cache

This release comes a bit early in our cycle because we wanted to ship important and requested models along with improved performances for everyone!

All of these are included with examples in the awesome https://github.com/huggingface/local-gemma repository! 🎈 We tried to share examples of what is now possible with all the shipped features! Kudos to @​gante, @​sanchit-gandhi and @​xenova

💥 End-to-end generation compile

Generate: end-to-end compilation #30788 by @​gante: model.generate now supports compiling! There are a few limitations, but here is a small snippet:

from transformers import AutoModelForCausalLM, AutoTokenizer
import torch
import copy
model = AutoModelForCausalLM.from_pretrained(
"meta-llama/Meta-Llama-3.1-8B", torch_dtype=torch.bfloat16, device_map="auto"
)
tokenizer = AutoTokenizer.from_pretrained("meta-llama/Meta-Llama-3.1-8B")
compile generate
compiled_generate = torch.compile(model.generate, fullgraph=True, mode="reduce-overhead")
compiled generate does NOT accept parameterization except a) model inputs b) a generation config
generation_config = copy.deepcopy(model.generation_config)
</tr></table>

... (truncated)

Commits

• 1748902 v4.44.2
• 6845144 Fix regression on Processor.save_pretrained caused by #31691 (#32921)
• 3d8cba8 fix: no need to dtype A in jamba (#32924)
• c1df7f8 fix: jamba cache fails to use torch.nn.module (#32894)
• ca56cd7 v4.44.1
• 6e931e1 Gemma2: fix FA2 generation (#32553)
• 74f57df Fix generate with inputs_embeds as input (#32493)
• 084fe2e Merge branch 'v4.44-release' of github.com:huggingface/transformers into v4.4...
• fff9be1 Reduce the error log when using core models that need their weights renamed, ...
• 4fd0f48 Fix VLM generation issues (#32836)
• Additional commits viewable in compare view

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