Bump the pip group across 4 directories with 1 update by dependabot[bot] · Pull Request #529 · HPInc/AI-Blueprints

dependabot · 2026-09-08T20:32:42Z

Bumps the pip group with 1 update in the /generative-ai/agentic-audio-rag-with-langgraph directory: accelerate.
Bumps the pip group with 1 update in the /generative-ai/educational-quickstart directory: accelerate.
Bumps the pip group with 1 update in the /generative-ai/fine-tuning-with-orpo directory: accelerate.
Bumps the pip group with 1 update in the /generative-ai/multi-modal-rag-with-langchain-vllm directory: accelerate.

Updates accelerate from 1.6.0 to 1.14.0

Release notes

Sourced from accelerate's releases.

v1.14.0: AMD ROCm support, FSDP2 hardening

FSDP2 Improvements

This release brings a large batch of FSDP2 fixes and quality-of-life improvements: correct dtype handling on load, sharding of embeddings/norms, QLoRA crash prevention, and a more robust auto-wrap policy.

Fsdp2 fully_shard embedding and norm by @SunMarc in #4015

Fix fsdp2 load full state dict dtype mismatch by @SunMarc in #4021

Fix region compilation fsdpv2 by @SunMarc in #4022

[FSDP2] Cast model to uniform dtype before fully_shard to fix mixed-dtype AssertionError by @roycho96 in #3985

[FSDP2] Auto-exclude non-floating frozen Params4bit from fully_shard to prevent QLoRA crash by @roycho96 in #3987

fix(FSDP2): auto-wrap policy ignoring _no_split_modules fallback by @JohnGiorgi in #3999

fix: use key-based matching in fsdp2_load_full_state_dict by @roycho96 in #3982

fix: add missing model_has_params4bit guard to fsdp2_load_full_state_dict call by @roycho96 in #3981

Fix to-fsdp2: drop REMOVED / NOT_YET_IMPLEMENTED FSDP1 keys instead of leaking them by @lollinng in #4065

Prevent double-wrapping models in prepare_model() by @joshuaswanson in #3977

AMD ROCm support

Accelerate now works end-to-end on AMD ROCm devices. Thanks @Abdennacer-Badaoui!

Make accelerate work end-to-end on AMD ROCm by @Abdennacer-Badaoui in #4025

Neuron

Further Neuron improvements to reduce recompilation and cover missing device cases.

Add padded allgather and broadcast for Neuron devices to reduce recompilation by @czkkkkkk in #4000

fix: add missing neuron device case by @michaelbenayoun in #4042

Quantization & Offloading

We improved offloading support for quantized models, including Torchao, int8, and tied-weight handling.

Torchao offload by @SunMarc in #3973

Fix int8 offload hook detachment statistics restoration by @jiqing-feng in #4044

Fix keep_in_fp32_modules not working for tied weights in load_and_quantize_model by @jiqing-feng in #4043

Fix dtype_byte_size for FP8 fnuz / e8m0fnu dtypes by @lollinng in #4063

Data Loading

Feat: Support dynamic batch size in BatchSamplerShard with even_batches by @yuxinyuan in #3969

Fix iterable dataset sharding condition when n_shards == num_processes by @SunMarc in #3958

Fix implicit padding in split_between_processes when apply_padding=False and num_samples < num_processes by @3manifold in #4052

Minor fixes

[DeepSpeed] allow kernels flash-attn in SP by @kashif in #3959

Fix: Conditionally import torch.distributed.algorithms.join in accelerator.py by @0xDELUXA in #3962

Fix is_hf_initialized attribute by @SunMarc in #3976

feat(utils): add max reduction type by @imstevenpmwork in #4027

... (truncated)

Commits

beb0672 Release: v1.14.0
a5cb37c Fix all tests (#4072)
14d7cdc Support dynamic batch size in BatchSamplerShard with even_batches (#3969)
77eb5cf fix(tracker): guard init_trackers and log against None kwargs (#4026)
379c8e0 fix(security): remediate workflow vulnerability in .github/workflows/build-do...
61e6420 Fix to-fsdp2: actually drop REMOVED / NOT_YET_IMPLEMENTED FSDP1 keys (#4065)
b120c1f tests: Gracefully handle missing set_device for mps (#4028)
418015a test: add regression test for no_split_module_classes accepting set type (#4048)
3f1acf8 Bump the actions group with 8 updates (#4068)
a2e5292 docs: add aggregate profiler memory example (#4054)
Additional commits viewable in compare view

Updates accelerate from 1.12.0 to 1.14.0

Release notes

Sourced from accelerate's releases.

v1.14.0: AMD ROCm support, FSDP2 hardening

FSDP2 Improvements

This release brings a large batch of FSDP2 fixes and quality-of-life improvements: correct dtype handling on load, sharding of embeddings/norms, QLoRA crash prevention, and a more robust auto-wrap policy.

Fsdp2 fully_shard embedding and norm by @SunMarc in #4015

Fix fsdp2 load full state dict dtype mismatch by @SunMarc in #4021

Fix region compilation fsdpv2 by @SunMarc in #4022

[FSDP2] Cast model to uniform dtype before fully_shard to fix mixed-dtype AssertionError by @roycho96 in #3985

[FSDP2] Auto-exclude non-floating frozen Params4bit from fully_shard to prevent QLoRA crash by @roycho96 in #3987

fix(FSDP2): auto-wrap policy ignoring _no_split_modules fallback by @JohnGiorgi in #3999

fix: use key-based matching in fsdp2_load_full_state_dict by @roycho96 in #3982

fix: add missing model_has_params4bit guard to fsdp2_load_full_state_dict call by @roycho96 in #3981

Fix to-fsdp2: drop REMOVED / NOT_YET_IMPLEMENTED FSDP1 keys instead of leaking them by @lollinng in #4065

Prevent double-wrapping models in prepare_model() by @joshuaswanson in #3977

AMD ROCm support

Accelerate now works end-to-end on AMD ROCm devices. Thanks @Abdennacer-Badaoui!

Make accelerate work end-to-end on AMD ROCm by @Abdennacer-Badaoui in #4025

Neuron

Further Neuron improvements to reduce recompilation and cover missing device cases.

Add padded allgather and broadcast for Neuron devices to reduce recompilation by @czkkkkkk in #4000

fix: add missing neuron device case by @michaelbenayoun in #4042

Quantization & Offloading

We improved offloading support for quantized models, including Torchao, int8, and tied-weight handling.

Torchao offload by @SunMarc in #3973

Fix int8 offload hook detachment statistics restoration by @jiqing-feng in #4044

Fix keep_in_fp32_modules not working for tied weights in load_and_quantize_model by @jiqing-feng in #4043

Fix dtype_byte_size for FP8 fnuz / e8m0fnu dtypes by @lollinng in #4063

Data Loading

Feat: Support dynamic batch size in BatchSamplerShard with even_batches by @yuxinyuan in #3969

Fix iterable dataset sharding condition when n_shards == num_processes by @SunMarc in #3958

Fix implicit padding in split_between_processes when apply_padding=False and num_samples < num_processes by @3manifold in #4052

Minor fixes

[DeepSpeed] allow kernels flash-attn in SP by @kashif in #3959

Fix: Conditionally import torch.distributed.algorithms.join in accelerator.py by @0xDELUXA in #3962

Fix is_hf_initialized attribute by @SunMarc in #3976

feat(utils): add max reduction type by @imstevenpmwork in #4027

... (truncated)

Commits

beb0672 Release: v1.14.0
a5cb37c Fix all tests (#4072)
14d7cdc Support dynamic batch size in BatchSamplerShard with even_batches (#3969)
77eb5cf fix(tracker): guard init_trackers and log against None kwargs (#4026)
379c8e0 fix(security): remediate workflow vulnerability in .github/workflows/build-do...
61e6420 Fix to-fsdp2: actually drop REMOVED / NOT_YET_IMPLEMENTED FSDP1 keys (#4065)
b120c1f tests: Gracefully handle missing set_device for mps (#4028)
418015a test: add regression test for no_split_module_classes accepting set type (#4048)
3f1acf8 Bump the actions group with 8 updates (#4068)
a2e5292 docs: add aggregate profiler memory example (#4054)
Additional commits viewable in compare view

Updates accelerate from 1.6.0 to 1.14.0

Release notes

Sourced from accelerate's releases.

v1.14.0: AMD ROCm support, FSDP2 hardening

FSDP2 Improvements

This release brings a large batch of FSDP2 fixes and quality-of-life improvements: correct dtype handling on load, sharding of embeddings/norms, QLoRA crash prevention, and a more robust auto-wrap policy.

Fsdp2 fully_shard embedding and norm by @SunMarc in #4015

Fix fsdp2 load full state dict dtype mismatch by @SunMarc in #4021

Fix region compilation fsdpv2 by @SunMarc in #4022

[FSDP2] Cast model to uniform dtype before fully_shard to fix mixed-dtype AssertionError by @roycho96 in #3985

[FSDP2] Auto-exclude non-floating frozen Params4bit from fully_shard to prevent QLoRA crash by @roycho96 in #3987

fix(FSDP2): auto-wrap policy ignoring _no_split_modules fallback by @JohnGiorgi in #3999

fix: use key-based matching in fsdp2_load_full_state_dict by @roycho96 in #3982

fix: add missing model_has_params4bit guard to fsdp2_load_full_state_dict call by @roycho96 in #3981

Fix to-fsdp2: drop REMOVED / NOT_YET_IMPLEMENTED FSDP1 keys instead of leaking them by @lollinng in #4065

Prevent double-wrapping models in prepare_model() by @joshuaswanson in #3977

AMD ROCm support

Accelerate now works end-to-end on AMD ROCm devices. Thanks @Abdennacer-Badaoui!

Make accelerate work end-to-end on AMD ROCm by @Abdennacer-Badaoui in #4025

Neuron

Further Neuron improvements to reduce recompilation and cover missing device cases.

Add padded allgather and broadcast for Neuron devices to reduce recompilation by @czkkkkkk in #4000

fix: add missing neuron device case by @michaelbenayoun in #4042

Quantization & Offloading

We improved offloading support for quantized models, including Torchao, int8, and tied-weight handling.

Torchao offload by @SunMarc in #3973

Fix int8 offload hook detachment statistics restoration by @jiqing-feng in #4044

Fix keep_in_fp32_modules not working for tied weights in load_and_quantize_model by @jiqing-feng in #4043

Fix dtype_byte_size for FP8 fnuz / e8m0fnu dtypes by @lollinng in #4063

Data Loading

Feat: Support dynamic batch size in BatchSamplerShard with even_batches by @yuxinyuan in #3969

Fix iterable dataset sharding condition when n_shards == num_processes by @SunMarc in #3958

Fix implicit padding in split_between_processes when apply_padding=False and num_samples < num_processes by @3manifold in #4052

Minor fixes

[DeepSpeed] allow kernels flash-attn in SP by @kashif in #3959

Fix: Conditionally import torch.distributed.algorithms.join in accelerator.py by @0xDELUXA in #3962

Fix is_hf_initialized attribute by @SunMarc in #3976

feat(utils): add max reduction type by @imstevenpmwork in #4027

... (truncated)

Commits

beb0672 Release: v1.14.0
a5cb37c Fix all tests (#4072)
14d7cdc Support dynamic batch size in BatchSamplerShard with even_batches (#3969)
77eb5cf fix(tracker): guard init_trackers and log against None kwargs (#4026)
379c8e0 fix(security): remediate workflow vulnerability in .github/workflows/build-do...
61e6420 Fix to-fsdp2: actually drop REMOVED / NOT_YET_IMPLEMENTED FSDP1 keys (#4065)
b120c1f tests: Gracefully handle missing set_device for mps (#4028)
418015a test: add regression test for no_split_module_classes accepting set type (#4048)
3f1acf8 Bump the actions group with 8 updates (#4068)
a2e5292 docs: add aggregate profiler memory example (#4054)
Additional commits viewable in compare view

Updates accelerate from 1.9.0 to 1.14.0

Release notes

Sourced from accelerate's releases.

v1.14.0: AMD ROCm support, FSDP2 hardening

FSDP2 Improvements

This release brings a large batch of FSDP2 fixes and quality-of-life improvements: correct dtype handling on load, sharding of embeddings/norms, QLoRA crash prevention, and a more robust auto-wrap policy.

Fsdp2 fully_shard embedding and norm by @SunMarc in #4015

Fix fsdp2 load full state dict dtype mismatch by @SunMarc in #4021

Fix region compilation fsdpv2 by @SunMarc in #4022

[FSDP2] Cast model to uniform dtype before fully_shard to fix mixed-dtype AssertionError by @roycho96 in #3985

[FSDP2] Auto-exclude non-floating frozen Params4bit from fully_shard to prevent QLoRA crash by @roycho96 in #3987

fix(FSDP2): auto-wrap policy ignoring _no_split_modules fallback by @JohnGiorgi in #3999

fix: use key-based matching in fsdp2_load_full_state_dict by @roycho96 in #3982

fix: add missing model_has_params4bit guard to fsdp2_load_full_state_dict call by @roycho96 in #3981

Fix to-fsdp2: drop REMOVED / NOT_YET_IMPLEMENTED FSDP1 keys instead of leaking them by @lollinng in #4065

Prevent double-wrapping models in prepare_model() by @joshuaswanson in #3977

AMD ROCm support

Accelerate now works end-to-end on AMD ROCm devices. Thanks @Abdennacer-Badaoui!

Make accelerate work end-to-end on AMD ROCm by @Abdennacer-Badaoui in #4025

Neuron

Further Neuron improvements to reduce recompilation and cover missing device cases.

Add padded allgather and broadcast for Neuron devices to reduce recompilation by @czkkkkkk in #4000

fix: add missing neuron device case by @michaelbenayoun in #4042

Quantization & Offloading

We improved offloading support for quantized models, including Torchao, int8, and tied-weight handling.

Torchao offload by @SunMarc in #3973

Fix int8 offload hook detachment statistics restoration by @jiqing-feng in #4044

Fix keep_in_fp32_modules not working for tied weights in load_and_quantize_model by @jiqing-feng in #4043

Fix dtype_byte_size for FP8 fnuz / e8m0fnu dtypes by @lollinng in #4063

Data Loading

Feat: Support dynamic batch size in BatchSamplerShard with even_batches by @yuxinyuan in #3969

Fix iterable dataset sharding condition when n_shards == num_processes by @SunMarc in #3958

Fix implicit padding in split_between_processes when apply_padding=False and num_samples < num_processes by @3manifold in #4052

Minor fixes

[DeepSpeed] allow kernels flash-attn in SP by @kashif in #3959

Fix: Conditionally import torch.distributed.algorithms.join in accelerator.py by @0xDELUXA in #3962

Fix is_hf_initialized attribute by @SunMarc in #3976

feat(utils): add max reduction type by @imstevenpmwork in #4027

... (truncated)

Commits

beb0672 Release: v1.14.0
a5cb37c Fix all tests (#4072)
14d7cdc Support dynamic batch size in BatchSamplerShard with even_batches (#3969)
77eb5cf fix(tracker): guard init_trackers and log against None kwargs (#4026)
379c8e0 fix(security): remediate workflow vulnerability in .github/workflows/build-do...
61e6420 Fix to-fsdp2: actually drop REMOVED / NOT_YET_IMPLEMENTED FSDP1 keys (#4065)
b120c1f tests: Gracefully handle missing set_device for mps (#4028)
418015a test: add regression test for no_split_module_classes accepting set type (#4048)
3f1acf8 Bump the actions group with 8 updates (#4068)
a2e5292 docs: add aggregate profiler memory example (#4054)
Additional commits viewable in compare view

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Bumps the pip group with 1 update in the /generative-ai/agentic-audio-rag-with-langgraph directory: [accelerate](https://github.com/huggingface/accelerate). Bumps the pip group with 1 update in the /generative-ai/educational-quickstart directory: [accelerate](https://github.com/huggingface/accelerate). Bumps the pip group with 1 update in the /generative-ai/fine-tuning-with-orpo directory: [accelerate](https://github.com/huggingface/accelerate). Bumps the pip group with 1 update in the /generative-ai/multi-modal-rag-with-langchain-vllm directory: [accelerate](https://github.com/huggingface/accelerate). Updates `accelerate` from 1.6.0 to 1.14.0 - [Release notes](https://github.com/huggingface/accelerate/releases) - [Commits](huggingface/accelerate@v1.6.0...v1.14.0) Updates `accelerate` from 1.12.0 to 1.14.0 - [Release notes](https://github.com/huggingface/accelerate/releases) - [Commits](huggingface/accelerate@v1.6.0...v1.14.0) Updates `accelerate` from 1.6.0 to 1.14.0 - [Release notes](https://github.com/huggingface/accelerate/releases) - [Commits](huggingface/accelerate@v1.6.0...v1.14.0) Updates `accelerate` from 1.9.0 to 1.14.0 - [Release notes](https://github.com/huggingface/accelerate/releases) - [Commits](huggingface/accelerate@v1.6.0...v1.14.0) --- updated-dependencies: - dependency-name: accelerate dependency-version: 1.14.0 dependency-type: direct:production dependency-group: pip - dependency-name: accelerate dependency-version: 1.14.0 dependency-type: direct:production dependency-group: pip - dependency-name: accelerate dependency-version: 1.14.0 dependency-type: direct:production dependency-group: pip - dependency-name: accelerate dependency-version: 1.14.0 dependency-type: direct:production dependency-group: pip ... Signed-off-by: dependabot[bot] <support@github.com>

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Bump the pip group across 4 directories with 1 update - #529

Bump the pip group across 4 directories with 1 update#529
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dependabot Bot commented on behalf of github Sep 8, 2026

v1.14.0: AMD ROCm support, FSDP2 hardening

FSDP2 Improvements

AMD ROCm support

Neuron

Quantization & Offloading

Data Loading

Minor fixes

v1.14.0: AMD ROCm support, FSDP2 hardening

FSDP2 Improvements

AMD ROCm support

Neuron

Quantization & Offloading

Data Loading

Minor fixes

v1.14.0: AMD ROCm support, FSDP2 hardening

FSDP2 Improvements

AMD ROCm support

Neuron

Quantization & Offloading

Data Loading

Minor fixes

v1.14.0: AMD ROCm support, FSDP2 hardening

FSDP2 Improvements

AMD ROCm support

Neuron

Quantization & Offloading

Data Loading

Minor fixes

Uh oh!

Reviewers

Assignees

Labels

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Development

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