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Bump the pip group across 93 directories with 4 updates - #604

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Bump the pip group across 93 directories with 4 updates#604
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Bumps the pip group with 2 updates in the /.aitk/requirements/AMD directory: nltk and transformers.
Bumps the pip group with 1 update in the /Qwen-Qwen3-14B/cpu directory: transformers.
Bumps the pip group with 1 update in the /Qwen-Qwen3-14B/cuda directory: transformers.
Bumps the pip group with 1 update in the /Qwen-Qwen3-14B/webgpu directory: transformers.
Bumps the pip group with 1 update in the /Qwen-Qwen3-4B/cpu directory: transformers.
Bumps the pip group with 1 update in the /Qwen-Qwen3-4B/cuda directory: transformers.
Bumps the pip group with 1 update in the /Qwen-Qwen3-4B/webgpu directory: transformers.
Bumps the pip group with 1 update in the /Qwen-Qwen3-8B/QNN directory: transformers.
Bumps the pip group with 1 update in the /Qwen-Qwen3-8B/cpu directory: transformers.
Bumps the pip group with 1 update in the /Qwen-Qwen3-8B/cuda directory: transformers.
Bumps the pip group with 1 update in the /Qwen-Qwen3-8B/webgpu directory: transformers.
Bumps the pip group with 1 update in the /Qwen-Qwen3-Embedding-0.6B/baseline directory: transformers.
Bumps the pip group with 1 update in the /Qwen-Qwen3-Embedding-0.6B/cpu directory: transformers.
Bumps the pip group with 1 update in the /Qwen-Qwen3-Embedding-0.6B/cuda directory: transformers.
Bumps the pip group with 1 update in the /Qwen-Qwen3-Embedding-0.6B/webgpu directory: transformers.
Bumps the pip group with 1 update in the /Qwen-Qwen3-Embedding-8B/baseline directory: transformers.
Bumps the pip group with 1 update in the /Qwen-Qwen3-Embedding-8B/cpu directory: transformers.
Bumps the pip group with 1 update in the /Qwen-Qwen3-Embedding-8B/cuda directory: transformers.
Bumps the pip group with 1 update in the /Qwen-Qwen3-Embedding-8B/webgpu directory: transformers.
Bumps the pip group with 1 update in the /Qwen-Qwen3.5-2B/baseline directory: transformers.
Bumps the pip group with 1 update in the /Qwen-Qwen3.5-2B/cpu directory: transformers.
Bumps the pip group with 1 update in the /Qwen-Qwen3.5-2B/cuda directory: transformers.
Bumps the pip group with 1 update in the /Qwen-Qwen3.5-2B/webgpu directory: transformers.
Bumps the pip group with 1 update in the /allenai-Olmo-3-7B-Instruct/baseline directory: transformers.
Bumps the pip group with 1 update in the /allenai-Olmo-3-7B-Instruct/cpu directory: transformers.
Bumps the pip group with 1 update in the /allenai-Olmo-3-7B-Instruct/cuda directory: transformers.
Bumps the pip group with 1 update in the /allenai-Olmo-3-7B-Instruct/webgpu directory: transformers.
Bumps the pip group with 1 update in the /amd-AMD-OLMo-1B-SFT-DPO/VitisAI directory: transformers.
Bumps the pip group with 1 update in the /codellama-CodeLlama-7b-Instruct-hf/RyzenAI directory: transformers.
Bumps the pip group with 1 update in the /deepseek-ai-DeepSeek-R1-Distill-Llama-8B/RyzenAI directory: transformers.
Bumps the pip group with 1 update in the /deepseek-ai-DeepSeek-R1-Distill-Llama-8B/VitisAI directory: transformers.
Bumps the pip group with 1 update in the /deepseek-ai-DeepSeek-R1-Distill-Qwen-1.5B/QNN directory: transformers.
Bumps the pip group with 1 update in the /deepseek-ai-DeepSeek-R1-Distill-Qwen-1.5B/RyzenAI directory: transformers.
Bumps the pip group with 1 update in the /deepseek-ai-DeepSeek-R1-Distill-Qwen-1.5B/VitisAI directory: transformers.
Bumps the pip group with 1 update in the /deepseek-ai-DeepSeek-R1-Distill-Qwen-7B/RyzenAI directory: transformers.
Bumps the pip group with 1 update in the /deepseek-ai-DeepSeek-R1-Distill-Qwen-7B/VitisAI directory: transformers.
Bumps the pip group with 1 update in the /gpt-oss-20b/RyzenAI directory: transformers.
Bumps the pip group with 1 update in the /meta-llama-Llama-2-7b-chat-hf/RyzenAI directory: transformers.
Bumps the pip group with 1 update in the /meta-llama-Llama-2-7b-chat-hf/VitisAI directory: transformers.
Bumps the pip group with 1 update in the /meta-llama-Llama-2-7b-hf/RyzenAI directory: transformers.
Bumps the pip group with 1 update in the /meta-llama-Llama-2-7b-hf/VitisAI directory: transformers.
Bumps the pip group with 1 update in the /meta-llama-Llama-3.1-8B-Instruct/OpenVINO directory: transformers.
Bumps the pip group with 2 updates in the /meta-llama-Llama-3.1-8B-Instruct/QAIRT directory: transformers and tornado.
Bumps the pip group with 1 update in the /meta-llama-Llama-3.1-8B-Instruct/QNN directory: transformers.
Bumps the pip group with 1 update in the /meta-llama-Llama-3.1-8B-Instruct/RyzenAI directory: transformers.
Bumps the pip group with 1 update in the /meta-llama-Llama-3.1-8B-Instruct/VitisAI directory: transformers.
Bumps the pip group with 1 update in the /meta-llama-Llama-3.1-8B/RyzenAI directory: transformers.
Bumps the pip group with 1 update in the /meta-llama-Llama-3.1-8B/VitisAI directory: transformers.
Bumps the pip group with 1 update in the /meta-llama-Llama-3.2-1B-Instruct/QNN directory: transformers.
Bumps the pip group with 1 update in the /meta-llama-Llama-3.2-1B-Instruct/RyzenAI directory: transformers.
Bumps the pip group with 1 update in the /meta-llama-Llama-3.2-1B-Instruct/VitisAI directory: transformers.
Bumps the pip group with 1 update in the /meta-llama-Llama-3.2-1B-Instruct/olive directory: transformers.
Bumps the pip group with 1 update in the /meta-llama-Llama-3.2-1B/RyzenAI directory: transformers.
Bumps the pip group with 1 update in the /meta-llama-Llama-3.2-3B-Instruct/RyzenAI directory: transformers.
Bumps the pip group with 1 update in the /meta-llama-Llama-3.2-3B-Instruct/VitisAI directory: transformers.
Bumps the pip group with 1 update in the /meta-llama-Llama-3.2-3B/RyzenAI directory: transformers.
Bumps the pip group with 1 update in the /meta-llama-Meta-Llama-3-8B/RyzenAI directory: transformers.
Bumps the pip group with 1 update in the /meta-llama-Meta-Llama-3-8B/VitisAI directory: transformers.
Bumps the pip group with 1 update in the /microsoft-Phi-3-mini-128k-instruct/QNN directory: transformers.
Bumps the pip group with 1 update in the /microsoft-Phi-3-mini-128k-instruct/RyzenAI directory: transformers.
Bumps the pip group with 1 update in the /microsoft-Phi-3-mini-128k-instruct/VitisAI directory: transformers.
Bumps the pip group with 1 update in the /microsoft-Phi-3-mini-4k-instruct/QNN directory: transformers.
Bumps the pip group with 1 update in the /microsoft-Phi-3-mini-4k-instruct/RyzenAI directory: transformers.
Bumps the pip group with 1 update in the /microsoft-Phi-3-mini-4k-instruct/VitisAI directory: transformers.
Bumps the pip group with 1 update in the /microsoft-Phi-3.5-mini-instruct/QNN directory: transformers.
Bumps the pip group with 1 update in the /microsoft-Phi-3.5-mini-instruct/RyzenAI directory: transformers.
Bumps the pip group with 1 update in the /microsoft-Phi-3.5-mini-instruct/VitisAI directory: transformers.
Bumps the pip group with 3 updates in the /microsoft-Phi-4-mini-instruct/QAIRT directory: transformers, tornado and cryptography.
Bumps the pip group with 1 update in the /microsoft-Phi-4-mini-instruct/QNN/docker directory: transformers.
Bumps the pip group with 1 update in the /microsoft-Phi-4-mini-instruct/RyzenAI directory: transformers.
Bumps the pip group with 1 update in the /microsoft-Phi-4-mini-instruct/VitisAI directory: transformers.
Bumps the pip group with 1 update in the /microsoft-Phi-4-mini-reasoning/RyzenAI directory: transformers.
Bumps the pip group with 1 update in the /microsoft-Phi-4-mini-reasoning/VitisAI directory: transformers.
Bumps the pip group with 1 update in the /microsoft-Phi-4-reasoning/QAIRT directory: transformers.
Bumps the pip group with 1 update in the /microsoft-Phi-4-reasoning/QNN directory: transformers.
Bumps the pip group with 1 update in the /mistralai-Mistral-7B-Instruct-v0.1/RyzenAI directory: transformers.
Bumps the pip group with 1 update in the /mistralai-Mistral-7B-Instruct-v0.2/RyzenAI directory: transformers.
Bumps the pip group with 1 update in the /mistralai-Mistral-7B-Instruct-v0.2/VitisAI directory: transformers.
Bumps the pip group with 3 updates in the /mistralai-Mistral-7B-Instruct-v0.3/QAIRT directory: transformers, tornado and cryptography.
Bumps the pip group with 1 update in the /mistralai-Mistral-7B-Instruct-v0.3/RyzenAI directory: transformers.
Bumps the pip group with 1 update in the /mistralai-Mistral-7B-Instruct-v0.3/VitisAI directory: transformers.
Bumps the pip group with 1 update in the /mistralai-Mistral-7B-v0.3/RyzenAI directory: transformers.
Bumps the pip group with 1 update in the /nvidia-Mistral-NeMo-12B-Instruct/baseline directory: transformers.
Bumps the pip group with 1 update in the /nvidia-Mistral-NeMo-12B-Instruct/cpu directory: transformers.
Bumps the pip group with 1 update in the /nvidia-Mistral-NeMo-12B-Instruct/cuda directory: transformers.
Bumps the pip group with 1 update in the /nvidia-Mistral-NeMo-12B-Instruct/webgpu directory: transformers.
Bumps the pip group with 1 update in the /openai-whisper-large-v3-turbo/cuda directory: transformers.
Bumps the pip group with 1 update in the /sd-legacy-stable-diffusion-v1-5/VitisAI directory: transformers.
Bumps the pip group with 1 update in the /sd-legacy-stable-diffusion-v1-5/olive directory: transformers.
Bumps the pip group with 1 update in the /tencent-HY-MT1.5-1.8B/baseline directory: transformers.
Bumps the pip group with 1 update in the /tencent-HY-MT1.5-1.8B/cpu directory: transformers.
Bumps the pip group with 1 update in the /tencent-HY-MT1.5-1.8B/cuda directory: transformers.
Bumps the pip group with 1 update in the /tencent-HY-MT1.5-1.8B/webgpu directory: transformers.

Updates nltk from 3.9.4 to 3.10.3

Release notes

Sourced from nltk's releases.

v3.10.3

Version 3.10.3 2026-08-12

  • docs: wrap Chat-80 HOWTO output
  • Sandbox Stanford JAR execution to nltk_data directories
  • Harden path-traversal / file-I/O sandbox: close write-side symlink TOCTOU + shared-temp squat, lock the cluster with a living audit (CWE-22/59/377)
  • Extend algorithmic-complexity DoS hardening: repo-wide sweep + two-string distances (CWE-407/CWE-400)
  • Bound unbounded-work DoS in parsers and grammar transforms (CWE-407/674/835)
  • fix(security): sandbox MaltParser's Java execution (CVE-2026-12252, CVE-2026-12841)
  • fix(security): trust the system temp dir only when it is private (CWE-377/CWE-378)
  • fix(security): validate corpus-reader roots against the data sandbox (CWE-73)
  • fix(security): validate per-call java() options and replace the -XX:/-D allowlist with a minimal one (CWE-88)
  • Additional security hardening (CWE-407, CWE-426, CWE-427, CWE-502, CWE-59, CWE-776, CWE-918)

Thanks to the following contributors to 3.10.3: Mohammad Favas S, leduckhuong, Ziyu Lin, dougtrainer28-cmyk, Chaitanya Kadian, 0xRenSec, Arpit Jain, Jace, nguyencanhthuong, Liling Tan, medimedi, Eric Kafe.

What's Changed

New Contributors

Full Changelog: nltk/nltk@v3.10.2...v3.10.3

v3.10.3-rc1

Version 3.10.3 2026-08-12

  • docs: wrap Chat-80 HOWTO output
  • Sandbox Stanford JAR execution to nltk_data directories
  • Harden path-traversal / file-I/O sandbox: close write-side symlink TOCTOU + shared-temp squat, lock the cluster with a living audit (CWE-22/59/377)
  • Extend algorithmic-complexity DoS hardening: repo-wide sweep + two-string distances (CWE-407/CWE-400)
  • Bound unbounded-work DoS in parsers and grammar transforms (CWE-407/674/835)
  • fix(security): sandbox MaltParser's Java execution (CVE-2026-12252, CVE-2026-12841)
  • fix(security): trust the system temp dir only when it is private (CWE-377/CWE-378)
  • fix(security): validate corpus-reader roots against the data sandbox (CWE-73)
  • fix(security): validate per-call java() options and replace the -XX:/-D allowlist with a minimal one (CWE-88)
  • Additional security hardening (CWE-407, CWE-426, CWE-427, CWE-502, CWE-59, CWE-776, CWE-918)

Thanks to the following contributors to 3.10.3: Mohammad Favas S, leduckhuong, Ziyu Lin, dougtrainer28-cmyk, Chaitanya Kadian, 0xRenSec, Arpit Jain, Jace, nguyencanhthuong, Liling Tan, medimedi, Eric Kafe.

What's Changed

... (truncated)

Changelog

Sourced from nltk's changelog.

Version 3.10.3 2026-08-12

  • docs: wrap Chat-80 HOWTO output
  • Sandbox Stanford JAR execution to nltk_data directories
  • Harden path-traversal / file-I/O sandbox: close write-side symlink TOCTOU + shared-temp squat, lock the cluster with a living audit (CWE-22/59/377)
  • Extend algorithmic-complexity DoS hardening: repo-wide sweep + two-string distances (CWE-407/CWE-400)
  • Bound unbounded-work DoS in parsers and grammar transforms (CWE-407/674/835)
  • fix(security): sandbox MaltParser's Java execution (CVE-2026-12252, CVE-2026-12841)
  • fix(security): trust the system temp dir only when it is private (CWE-377/CWE-378)
  • fix(security): validate corpus-reader roots against the data sandbox (CWE-73)
  • fix(security): validate per-call java() options and replace the -XX:/-D allowlist with a minimal one (CWE-88)
  • Additional security hardening (CWE-407, CWE-426, CWE-427, CWE-502, CWE-59, CWE-776, CWE-918)

Thanks to the following contributors to 3.10.3: Mohammad Favas S, leduckhuong, Ziyu Lin, dougtrainer28-cmyk, Chaitanya Kadian, 0xRenSec, Arpit Jain, Jace, nguyencanhthuong, Liling Tan, medimedi, Eric Kafe.

Version 3.10.2 2026-08-05

  • Remove inisec.py and document PYTHONSAFEPATH instead
  • Skip draft step in release workflow
  • Fix symlink escape in FramenetCorpusReader (CWE-59)
  • Guard tempfile.gettempdir() when building pathsec allowed roots
  • add tests for transitive_closure

Thanks to the following contributors to 3.10.2: Litesh Ghute, Eric Kafe, Evan Kiefer, tarann26 and Rav Singh Chandan

Version 3.10.1 2026-07-29

  • Expand ~ in env-var paths
  • Validate types after WordNet app pickle deserialization
  • Fix uncontrolled search path in HunposTagger
  • Use exact thirds in masi_distance
  • Avoid retaining bllip import exceptions
  • Fix word_tokenize: pad opening single quote before multi-letter words.
  • Implement Tree.pformat_latex_forest.
  • Prevent module hijacking in inline imports.
  • Fix ReDoS in TweetTokenizer URL and email regexes.

Thanks to the following contributors to 3.10.1: Abhinav, Litesh Ghute, Eric Kafe, Eryk Kaźmierczak, Selim C., Muhtasim Munif Fahim, Triniti K., and Tom Y. Mitich.

Version 3.10.0 2026-06-11

  • Enforce the stricter nltk.pathsec security policy by default
  • Document the new security model and migration guidance
  • Harden resource loading against path traversal and SSRF/DNS-rebinding
  • Harden downloader path handling and block XML entity expansion
  • Close remaining corpus-reader security edge cases
  • Replace unsafe exec() usage in the utility CLI

... (truncated)

Commits
  • 303f6e2 Prepare release 3.10.3 (#3745)
  • cf2aaac Merge pull request #3744 from alvations/ci-guard-open
  • 6cd8320 test: robustness on Python 3.14 / 3.14t CI (UnicodeDecodeError + timing flake)
  • e965330 fix: perceptron save_to_json breaks on Windows (os.open can't fd-open a direc...
  • df1bb4c test: make pathsec security tests platform-independent (fix Linux/Windows CI)
  • 0e5c7be ci: guard against un-sandboxed open() in sandbox-sensitive modules (#3740)
  • 5017826 Merge commit from fork
  • 40d0f06 Triple-check hardening: perceptron TOCTOU squat, pathsec fd-leak, bcp47 entit...
  • 483c5fe Harden path-traversal / file-I/O sandbox: close write-side symlink TOCTOU + s...
  • 722778f Merge commit from fork
  • Additional commits viewable in compare view

Updates transformers from 4.57.6 to 5.10.1

Release notes

Sourced from transformers's releases.

Release v5.10.1

v5.10.0 was yanked as we publish on a corrupted branch. Sorry everyone, this happens when we rush a release!!!

New Model additions

Gemma4 unified+ Gemma4 MTP

Gemma 4 12B Unified is an encoder-free multimodal model with pretrained and instruction-tuned variants. Unlike standard Gemma 4, which uses dedicated encoder towers, Gemma 4 12B Unified projects raw inputs directly into the language model's embedding space through lightweight linear pipelines. This results in a simpler architecture while maintaining strong multimodal performance.

Key differences from standard Gemma 4:

  • No Vision Tower: Raw pixel patches are projected directly into LM space via a Dense + LayerNorm pipeline with factorized 2D positional embeddings, replacing the vision encoder.
  • No Audio Tower: Raw 16 kHz waveform samples are chunked into fixed-length frames and projected through a simple RMSNorm → Linear pipeline, replacing the mel spectrogram + Conformer encoder.
  • Shared Multimodal Pipeline: Both vision and audio use the same Gemma4UnifiedMultimodalEmbedder (RMSNorm → Linear) for the final projection to text hidden space.

You can find the original Gemma 4 12B Unified checkpoints under the Gemma 4 release.

Sapiens2

Sapiens2 is a family of high-resolution vision transformers pretrained on ~1 billion curated human images, designed for human-centric computer vision tasks including pose estimation, body-part segmentation, surface normal estimation, and pointmap estimation. The models scale from 0.4B to 5B parameters and train at native 1K resolution, with hierarchical 4K variants for extended spatial reasoning. Sapiens2 achieves substantial improvements over its predecessor with +4 mAP in pose estimation, +24.3 mIoU in body-part segmentation, and 45.6% error reduction in normal estimation.

Links: Documentation | Paper

DeepSeek-OCR-2

DeepSeek-OCR-2 is an OCR-specialized vision-language model built on a distinctive architecture that combines a SAM ViT-B vision encoder with a Qwen2 hybrid attention encoder, connected through an MLP projector to a DeepSeek-V2 Mixture-of-Experts (MoE) language model. The model features a hybrid attention mechanism that applies bidirectional attention over image tokens and causal attention over query tokens, enabling efficient and accurate document understanding. It supports both plain OCR tasks and grounding capabilities with coordinate-aware output for document conversion to markdown format.

Links: Documentation

Mellum

Mellum is a code-focused Mixture-of-Experts language model developed by JetBrains. It is derived from the Qwen3-MoE architecture with per-layer-type RoPE and interleaved sliding window attention. The model has 12B total parameters with 2.5B active parameters per token, using 64 routed experts with 8 activated per token across 28 layers.

Links: Documentation

Breaking changes

The Gemma4 vision pooler now casts inputs to float32 before scaling to prevent float16 overflow (inf saturation) with large checkpoints, which may cause minor numerical differences in outputs for users running Gemma-4 vision models in float16.

Audio Language Models (ALMs) now have a dedicated base model class without a language modeling head, aligning them with the design of Vision Language Models (VLMs); users relying on the previous model class structure should update their code to use the new base model class where appropriate.

... (truncated)

Commits

Updates transformers from 4.52.4 to 5.10.1

Release notes

Sourced from transformers's releases.

Release v5.10.1

v5.10.0 was yanked as we publish on a corrupted branch. Sorry everyone, this happens when we rush a release!!!

New Model additions

Gemma4 unified+ Gemma4 MTP

Gemma 4 12B Unified is an encoder-free multimodal model with pretrained and instruction-tuned variants. Unlike standard Gemma 4, which uses dedicated encoder towers, Gemma 4 12B Unified projects raw inputs directly into the language model's embedding space through lightweight linear pipelines. This results in a simpler architecture while maintaining strong multimodal performance.

Key differences from standard Gemma 4:

  • No Vision Tower: Raw pixel patches are projected directly into LM space via a Dense + LayerNorm pipeline with factorized 2D positional embeddings, replacing the vision encoder.
  • No Audio Tower: Raw 16 kHz waveform samples are chunked into fixed-length frames and projected through a simple RMSNorm → Linear pipeline, replacing the mel spectrogram + Conformer encoder.
  • Shared Multimodal Pipeline: Both vision and audio use the same Gemma4UnifiedMultimodalEmbedder (RMSNorm → Linear) for the final projection to text hidden space.

You can find the original Gemma 4 12B Unified checkpoints under the Gemma 4 release.

Sapiens2

Sapiens2 is a family of high-resolution vision transformers pretrained on ~1 billion curated human images, designed for human-centric computer vision tasks including pose estimation, body-part segmentation, surface normal estimation, and pointmap estimation. The models scale from 0.4B to 5B parameters and train at native 1K resolution, with hierarchical 4K variants for extended spatial reasoning. Sapiens2 achieves substantial improvements over its predecessor with +4 mAP in pose estimation, +24.3 mIoU in body-part segmentation, and 45.6% error reduction in normal estimation.

Links: Documentation | Paper

DeepSeek-OCR-2

DeepSeek-OCR-2 is an OCR-specialized vision-language model built on a distinctive architecture that combines a SAM ViT-B vision encoder with a Qwen2 hybrid attention encoder, connected through an MLP projector to a DeepSeek-V2 Mixture-of-Experts (MoE) language model. The model features a hybrid attention mechanism that applies bidirectional attention over image tokens and causal attention over query tokens, enabling efficient and accurate document understanding. It supports both plain OCR tasks and grounding capabilities with coordinate-aware output for document conversion to markdown format.

Links: Documentation

Mellum

Mellum is a code-focused Mixture-of-Experts language model developed by JetBrains. It is derived from the Qwen3-MoE architecture with per-layer-type RoPE and interleaved sliding window attention. The model has 12B total parameters with 2.5B active parameters per token, using 64 routed experts with 8 activated per token across 28 layers.

Links: Documentation

Breaking changes

The Gemma4 vision pooler now casts inputs to float32 before scaling to prevent float16 overflow (inf saturation) with large checkpoints, which may cause minor numerical differences in outputs for users running Gemma-4 vision models in float16.

Audio Language Models (ALMs) now have a dedicated base model class without a language modeling head, aligning them with the design of Vision Language Models (VLMs); users relying on the previous model class structure should update their code to use the new base model class where appropriate.

... (truncated)

Commits

Updates transformers from 4.52.4 to 5.10.1

Release notes

Sourced from transformers's releases.

Release v5.10.1

v5.10.0 was yanked as we publish on a corrupted branch. Sorry everyone, this happens when we rush a release!!!

New Model additions

Gemma4 unified+ Gemma4 MTP

Gemma 4 12B Unified is an encoder-free multimodal model with pretrained and instruction-tuned variants. Unlike standard Gemma 4, which uses dedicated encoder towers, Gemma 4 12B Unified projects raw inputs directly into the language model's embedding space through lightweight linear pipelines. This results in a simpler architecture while maintaining strong multimodal performance.

Key differences from standard Gemma 4:

  • No Vision Tower: Raw pixel patches are projected directly into LM space via a Dense + LayerNorm pipeline with factorized 2D positional embeddings, replacing the vision encoder.
  • No Audio Tower: Raw 16 kHz waveform samples are chunked into fixed-length frames and projected through a simple RMSNorm → Linear pipeline, replacing the mel spectrogram + Conformer encoder.
  • Shared Multimodal Pipeline: Both vision and audio use the same Gemma4UnifiedMultimodalEmbedder (RMSNorm → Linear) for the final projection to text hidden space.

You can find the original Gemma 4 12B Unified checkpoints under the Gemma 4 release.

Sapiens2

Sapiens2 is a family of high-resolution vision transformers pretrained on ~1 billion curated human images, designed for human-centric computer vision tasks including pose estimation, body-part segmentation, surface normal estimation, and pointmap estimation. The models scale from 0.4B to 5B parameters and train at native 1K resolution, with hierarchical 4K variants for extended spatial reasoning. Sapiens2 achieves substantial improvements over its predecessor with +4 mAP in pose estimation, +24.3 mIoU in body-part segmentation, and 45.6% error reduction in normal estimation.

Links: Documentation | Paper

DeepSeek-OCR-2

DeepSeek-OCR-2 is an OCR-specialized vision-language model built on a distinctive architecture that combines a SAM ViT-B vision encoder with a Qwen2 hybrid attention encoder, connected through an MLP projector to a DeepSeek-V2 Mixture-of-Experts (MoE) language model. The model features a hybrid attention mechanism that applies bidirectional attention over image tokens and causal attention over query tokens, enabling efficient and accurate document understanding. It supports both plain OCR tasks and grounding capabilities with coordinate-aware output for document conversion to markdown format.

Links: Documentation

Mellum

Mellum is a code-focused Mixture-of-Experts language model developed by JetBrains. It is derived from the Qwen3-MoE architecture with per-layer-type RoPE and interleaved sliding window attention. The model has 12B total parameters with 2.5B active parameters per token, using 64 routed experts with 8 activated per token across 28 layers.

Links: Documentation

Breaking changes

The Gemma4 vision pooler now casts inputs to float32 before scaling to prevent float16 overflow (inf saturation) with large checkpoints, which may cause minor numerical differences in outputs for users running Gemma-4 vision models in float16.

Audio Language Models (ALMs) now have a dedicated base model class without a language modeling head, aligning them with the design of Vision Language Models (VLMs); users relying on the previous model class structure should update their code to use the new base model class where appropriate.

... (truncated)

Commits

Updates transformers from 4.52.4 to 5.10.1

Release notes

Sourced from transformers's releases.

Release v5.10.1

v5.10.0 was yanked as we publish on a corrupted branch. Sorry everyone, this happens when we rush a release!!!

New Model additions

Gemma4 unified+ Gemma4 MTP

Gemma 4 12B Unified is an encoder-free multimodal model with pretrained and instruction-tuned variants. Unlike standard Gemma 4, which uses dedicated encoder towers, Gemma 4 12B Unified projects raw inputs directly into the language model's embedding space through lightweight linear pipelines. This results in a simpler architecture while maintaining strong multimodal performance.

Key differences from standard Gemma 4:

  • No Vision Tower: Raw pixel patches are projected directly into LM space via a Dense + LayerNorm pipeline with factorized 2D positional embeddings, replacing the vision encoder.
  • No Audio Tower: Raw 16 kHz waveform samples are chunked into fixed-length frames and projected through a simple RMSNorm → Linear pipeline, replacing the mel spectrogram + Conformer encoder.
  • Shared Multimodal Pipeline: Both vision and audio use the same Gemma4UnifiedMultimodalEmbedder (RMSNorm → Linear) for the final projection to text hidden space.

You can find the original Gemma 4 12B Unified checkpoints under the Gemma 4 release.

Sapiens2

Sapiens2 is a family of high-resolution vision transformers pretrained on ~1 billion curated human images, designed for human-centric computer vision tasks including pose estimation, body-part segmentation, surface normal estimation, and pointmap estimation. The models scale from 0.4B to 5B parameters and train at native 1K resolution, with hierarchical 4K variants for extended spatial reasoning. Sapiens2 achieves substantial improvements over its predecessor with +4 mAP in pose estimation, +24.3 mIoU in body-part segmentation, and 45.6% error reduction in normal estimation.

Links: Documentation | Paper

DeepSeek-OCR-2

DeepSeek-OCR-2 is an OCR-specialized vision-language model built on a distinctive architecture that combines a SAM ViT-B vision encoder with a Qwen2 hybrid attention encoder, connected through an MLP projector to a DeepSeek-V2 Mixture-of-Experts (MoE) language model. The model features a hybrid attention mechanism that applies bidirectional attention over image tokens and causal attention over query tokens, enabling efficient and accurate document understanding. It supports both plain OCR tasks and grounding capabilities with coordinate-aware output for document conversion to markdown format.

Links: Documentation

Mellum

Mellum is a code-focused Mixture-of-Experts language model developed by JetBrains. It is derived from the Qwen3-MoE architecture with per-layer-type RoPE and interleaved sliding window attention. The model has 12B total parameters with 2.5B active parameters per token, using 64 routed experts with 8 activated per token across 28 layers.

Links: Documentation

Breaking changes

The Gemma4 vision pooler now casts inputs to float32 before scaling to prevent float16 overflow (inf saturation) with large checkpoints, which may cause minor numerical differences in outputs for users running Gemma-4 vision models in float16.

Audio Language Models (ALMs) now have a dedicated base model class without a language modeling head, aligning them with the design of Vision Language Models (VLMs); users relying on the previous model class structure should update their code to use the new base model class where appropriate.

... (truncated)

Commits

Updates transformers from 4.52.4 to 5.10.1

Release notes

Sourced from transformers's releases.

Release v5.10.1

v5.10.0 was yanked as we publish on a corrupted branch. Sorry everyone, this happens when we rush a release!!!

New Model additions

Gemma4 unified+ Gemma4 MTP

Gemma 4 12B Unified is an encoder-free multimodal model with pretrained and instruction-tuned variants. Unlike standard Gemma 4, which uses dedicated encoder towers, Gemma 4 12B Unified projects raw inputs directly into the language model's embedding space through lightweight linear pipelines. This results in a simpler architecture while maintaining strong multimodal performance.

Key differences from standard Gemma 4:

  • No Vision Tower: Raw pixel patches are projected directly into LM space via a Dense + LayerNorm pipeline with factorized 2D positional embeddings, replacing the vision encoder.
  • No Audio Tower: Raw 16 kHz waveform samples are chunked into fixed-length frames and projected through a simple RMSNorm → Linear pipeline, replacing the mel spectrogram + Conformer encoder.
  • Shared Multimodal Pipeline: Both vision and audio use the same Gemma4UnifiedMultimodalEmbedder (RMSNorm → Linear) for the final projection to text hidden space.

You can find the original Gemma 4 12B Unified checkpoints under the Gemma 4 release.

Sapiens2

Sapiens2 is a family of high-resolution vision transformers pretrained on ~1 billion curated human images, designed for human-centric computer vision tasks including pose estimation, body-part segmentation, surface normal estimation, and pointmap estimation. The models scale from 0.4B to 5B parameters and train at native 1K resolution, with hierarchical 4K variants for extended spatial reasoning. Sapiens2 achieves substantial improvements over its predecessor with +4 mAP in pose estimation, +24.3 mIoU in body-part segmentation, and 45.6% error reduction in normal estimation.

Links: Documentation | Paper

DeepSeek-OCR-2

DeepSeek-OCR-2 is an OCR-specialized vision-language model built on a distinctive architecture that combines a SAM ViT-B vision encoder with a Qwen2 hybrid attention encoder, connected through an MLP projector to a DeepSeek-V2 Mixture-of-Experts (MoE) language model. The model features a hybrid attention mechanism that applies bidirectional attention over image tokens and causal attention over query tokens, enabling efficient and accurate document understanding. It supports both plain OCR tasks and grounding capabilities with coordinate-aware output for document conversion to markdown format.

Links: Documentation

Mellum

Mellum is a code-focused Mixture-of-Experts language model developed by JetBrains. It is derived from the Qwen3-MoE architecture with per-layer-type RoPE and interleaved sliding window attention. The model has 12B total parameters with 2.5B active parameters per token, using 64 routed experts with 8 activated per token across 28 layers.

Links: Documentation

Breaking changes

The Gemma4 vision pooler now casts inputs to float32 before scaling to prevent float16 overflow (inf saturation) with large checkpoints, which may cause minor numerical differences in outputs for users running Gemma-4 vision models in float16.

Audio Language Models (ALMs) now have a dedicated base model class without a language modeling head, aligning them with the design of Vision Language Models...

Description has been truncated

Bumps the pip group with 2 updates in the /.aitk/requirements/AMD directory: [nltk](https://github.com/nltk/nltk) and [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /Qwen-Qwen3-14B/cpu directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /Qwen-Qwen3-14B/cuda directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /Qwen-Qwen3-14B/webgpu directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /Qwen-Qwen3-4B/cpu directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /Qwen-Qwen3-4B/cuda directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /Qwen-Qwen3-4B/webgpu directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /Qwen-Qwen3-8B/QNN directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /Qwen-Qwen3-8B/cpu directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /Qwen-Qwen3-8B/cuda directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /Qwen-Qwen3-8B/webgpu directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /Qwen-Qwen3-Embedding-0.6B/baseline directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /Qwen-Qwen3-Embedding-0.6B/cpu directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /Qwen-Qwen3-Embedding-0.6B/cuda directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /Qwen-Qwen3-Embedding-0.6B/webgpu directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /Qwen-Qwen3-Embedding-8B/baseline directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /Qwen-Qwen3-Embedding-8B/cpu directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /Qwen-Qwen3-Embedding-8B/cuda directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /Qwen-Qwen3-Embedding-8B/webgpu directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /Qwen-Qwen3.5-2B/baseline directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /Qwen-Qwen3.5-2B/cpu directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /Qwen-Qwen3.5-2B/cuda directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /Qwen-Qwen3.5-2B/webgpu directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /allenai-Olmo-3-7B-Instruct/baseline directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /allenai-Olmo-3-7B-Instruct/cpu directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /allenai-Olmo-3-7B-Instruct/cuda directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /allenai-Olmo-3-7B-Instruct/webgpu directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /amd-AMD-OLMo-1B-SFT-DPO/VitisAI directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /codellama-CodeLlama-7b-Instruct-hf/RyzenAI directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /deepseek-ai-DeepSeek-R1-Distill-Llama-8B/RyzenAI directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /deepseek-ai-DeepSeek-R1-Distill-Llama-8B/VitisAI directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /deepseek-ai-DeepSeek-R1-Distill-Qwen-1.5B/QNN directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /deepseek-ai-DeepSeek-R1-Distill-Qwen-1.5B/RyzenAI directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /deepseek-ai-DeepSeek-R1-Distill-Qwen-1.5B/VitisAI directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /deepseek-ai-DeepSeek-R1-Distill-Qwen-7B/RyzenAI directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /deepseek-ai-DeepSeek-R1-Distill-Qwen-7B/VitisAI directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /gpt-oss-20b/RyzenAI directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /meta-llama-Llama-2-7b-chat-hf/RyzenAI directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /meta-llama-Llama-2-7b-chat-hf/VitisAI directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /meta-llama-Llama-2-7b-hf/RyzenAI directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /meta-llama-Llama-2-7b-hf/VitisAI directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /meta-llama-Llama-3.1-8B-Instruct/OpenVINO directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 2 updates in the /meta-llama-Llama-3.1-8B-Instruct/QAIRT directory: [transformers](https://github.com/huggingface/transformers) and [tornado](https://github.com/tornadoweb/tornado).
Bumps the pip group with 1 update in the /meta-llama-Llama-3.1-8B-Instruct/QNN directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /meta-llama-Llama-3.1-8B-Instruct/RyzenAI directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /meta-llama-Llama-3.1-8B-Instruct/VitisAI directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /meta-llama-Llama-3.1-8B/RyzenAI directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /meta-llama-Llama-3.1-8B/VitisAI directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /meta-llama-Llama-3.2-1B-Instruct/QNN directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /meta-llama-Llama-3.2-1B-Instruct/RyzenAI directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /meta-llama-Llama-3.2-1B-Instruct/VitisAI directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /meta-llama-Llama-3.2-1B-Instruct/olive directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /meta-llama-Llama-3.2-1B/RyzenAI directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /meta-llama-Llama-3.2-3B-Instruct/RyzenAI directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /meta-llama-Llama-3.2-3B-Instruct/VitisAI directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /meta-llama-Llama-3.2-3B/RyzenAI directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /meta-llama-Meta-Llama-3-8B/RyzenAI directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /meta-llama-Meta-Llama-3-8B/VitisAI directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /microsoft-Phi-3-mini-128k-instruct/QNN directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /microsoft-Phi-3-mini-128k-instruct/RyzenAI directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /microsoft-Phi-3-mini-128k-instruct/VitisAI directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /microsoft-Phi-3-mini-4k-instruct/QNN directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /microsoft-Phi-3-mini-4k-instruct/RyzenAI directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /microsoft-Phi-3-mini-4k-instruct/VitisAI directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /microsoft-Phi-3.5-mini-instruct/QNN directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /microsoft-Phi-3.5-mini-instruct/RyzenAI directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /microsoft-Phi-3.5-mini-instruct/VitisAI directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 3 updates in the /microsoft-Phi-4-mini-instruct/QAIRT directory: [transformers](https://github.com/huggingface/transformers), [tornado](https://github.com/tornadoweb/tornado) and [cryptography](https://github.com/pyca/cryptography).
Bumps the pip group with 1 update in the /microsoft-Phi-4-mini-instruct/QNN/docker directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /microsoft-Phi-4-mini-instruct/RyzenAI directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /microsoft-Phi-4-mini-instruct/VitisAI directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /microsoft-Phi-4-mini-reasoning/RyzenAI directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /microsoft-Phi-4-mini-reasoning/VitisAI directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /microsoft-Phi-4-reasoning/QAIRT directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /microsoft-Phi-4-reasoning/QNN directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /mistralai-Mistral-7B-Instruct-v0.1/RyzenAI directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /mistralai-Mistral-7B-Instruct-v0.2/RyzenAI directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /mistralai-Mistral-7B-Instruct-v0.2/VitisAI directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 3 updates in the /mistralai-Mistral-7B-Instruct-v0.3/QAIRT directory: [transformers](https://github.com/huggingface/transformers), [tornado](https://github.com/tornadoweb/tornado) and [cryptography](https://github.com/pyca/cryptography).
Bumps the pip group with 1 update in the /mistralai-Mistral-7B-Instruct-v0.3/RyzenAI directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /mistralai-Mistral-7B-Instruct-v0.3/VitisAI directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /mistralai-Mistral-7B-v0.3/RyzenAI directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /nvidia-Mistral-NeMo-12B-Instruct/baseline directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /nvidia-Mistral-NeMo-12B-Instruct/cpu directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /nvidia-Mistral-NeMo-12B-Instruct/cuda directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /nvidia-Mistral-NeMo-12B-Instruct/webgpu directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /openai-whisper-large-v3-turbo/cuda directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /sd-legacy-stable-diffusion-v1-5/VitisAI directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /sd-legacy-stable-diffusion-v1-5/olive directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /tencent-HY-MT1.5-1.8B/baseline directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /tencent-HY-MT1.5-1.8B/cpu directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /tencent-HY-MT1.5-1.8B/cuda directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /tencent-HY-MT1.5-1.8B/webgpu directory: [transformers](https://github.com/huggingface/transformers).


Updates `nltk` from 3.9.4 to 3.10.3
- [Release notes](https://github.com/nltk/nltk/releases)
- [Changelog](https://github.com/nltk/nltk/blob/develop/ChangeLog)
- [Commits](nltk/nltk@3.9.4...v3.10.3)

Updates `transformers` from 4.57.6 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.52.4 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.52.4 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.52.4 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.52.4 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.52.4 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.52.4 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.57.3 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.52.4 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.52.4 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.52.4 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.52.4 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.52.4 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.52.4 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.52.4 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.52.4 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.52.4 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.52.4 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.52.4 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.52.4 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.52.4 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.52.4 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.52.4 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.57.1 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.57.1 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.57.1 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.57.1 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.50.0 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.57.6 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.57.6 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.50.0 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.53.2 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.57.6 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.50.0 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.57.6 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.50.0 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.57.6 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.57.6 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.50.0 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.57.6 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.50.0 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.52.3 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.50.1 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `tornado` from 6.5.5 to 6.5.8
- [Changelog](https://github.com/tornadoweb/tornado/blob/master/docs/releases.rst)
- [Commits](tornadoweb/tornado@v6.5.5...v6.5.8)

Updates `transformers` from 4.57.3 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.57.6 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.50.0 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.57.6 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.50.0 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.53.2 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.57.6 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.50.0 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.45.0 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.57.6 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.57.6 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.50.0 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.57.6 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.57.6 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.50.0 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.53.2 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.57.6 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.50.0 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.53.2 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.57.6 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.50.0 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.57.3 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.57.6 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.50.0 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.46.0 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `tornado` from 6.5.4 to 6.5.8
- [Changelog](https://github.com/tornadoweb/tornado/blob/master/docs/releases.rst)
- [Commits](tornadoweb/tornado@v6.5.5...v6.5.8)

Updates `cryptography` from 45.0.7 to 50.0.0
- [Changelog](https://github.com/pyca/cryptography/blob/main/CHANGELOG.rst)
- [Commits](pyca/cryptography@45.0.7...50.0.0)

Updates `transformers` from 4.53.3 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.57.6 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.50.0 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.57.6 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.50.0 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.51.1 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.57.3 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.57.6 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.57.6 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.50.0 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.44.0 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `tornado` from 6.5.5 to 6.5.8
- [Changelog](https://github.com/tornadoweb/tornado/blob/master/docs/releases.rst)
- [Commits](tornadoweb/tornado@v6.5.5...v6.5.8)

Updates `cryptography` from 45.0.7 to 50.0.0
- [Changelog](https://github.com/pyca/cryptography/blob/main/CHANGELOG.rst)
- [Commits](pyca/cryptography@45.0.7...50.0.0)

Updates `transformers` from 4.57.6 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.50.0 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.57.6 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.57.1 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.57.1 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.57.1 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.57.1 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.52.3 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.56.2 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.51.3 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.56.1 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.56.1 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.56.1 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

Updates `transformers` from 4.56.1 to 5.10.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.10.1)

---
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- dependency-name: transformers
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- dependency-name: transformers
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- dependency-name: transformers
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- dependency-name: transformers
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- dependency-name: transformers
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- dependency-name: transformers
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- dependency-name: transformers
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- dependency-name: transformers
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- dependency-name: transformers
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- dependency-name: transformers
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- dependency-name: transformers
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- dependency-name: transformers
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- dependency-name: transformers
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- dependency-name: transformers
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- dependency-name: transformers
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- dependency-name: transformers
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- dependency-name: transformers
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- dependency-name: transformers
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- dependency-name: transformers
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- dependency-name: transformers
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- dependency-name: tornado
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- dependency-name: transformers
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- dependency-name: transformers
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- dependency-name: transformers
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- dependency-name: transformers
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- dependency-name: transformers
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- dependency-name: transformers
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- dependency-name: transformers
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- dependency-name: transformers
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- dependency-name: transformers
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- dependency-name: transformers
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- dependency-name: transformers
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- dependency-name: transformers
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- dependency-name: transformers
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- dependency-name: transformers
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- dependency-name: transformers
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- dependency-name: transformers
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- dependency-name: transformers
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- dependency-name: transformers
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- dependency-name: transformers
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- dependency-name: transformers
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- dependency-name: transformers
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- dependency-name: transformers
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- dependency-name: transformers
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Copilot AI lite review requested due to automatic review settings September 2, 2026 22:04
@dependabot dependabot Bot added dependencies Pull requests that update a dependency file python Pull requests that update python code labels Sep 2, 2026
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dependabot Bot requested review from a team as code owners September 2, 2026 22:04
@dependabot dependabot Bot added dependencies Pull requests that update a dependency file python Pull requests that update python code labels Sep 2, 2026

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🔵 Needs a closer look

It performs a major-version transformers upgrade across many distinct recipe environments, which warrants human validation and compatibility testing.

Pull request overview

This PR updates pinned Python dependencies across a large set of model/recipe-specific environments, primarily to move Hugging Face transformers to the 5.x line (plus a small number of other package bumps like nltk, tornado, and cryptography) to keep these recipes current.

Changes:

  • Bump transformers pins across many recipe directories to 5.10.1.
  • Bump .aitk AMD Quark environment nltk to 3.10.3 (and transformers to 5.10.1).
  • Update a few QAIRT env pins (tornado, cryptography) and relax one Stable Diffusion recipe’s transformers upper bound.
File summaries
File Description
.aitk/requirements/AMD/Quark_py3.12.13.txt Bump nltk and transformers pins
Qwen-Qwen3-14B/cpu/requirements.txt Pin transformers==5.10.1
Qwen-Qwen3-14B/cuda/requirements.txt Pin transformers==5.10.1
Qwen-Qwen3-14B/webgpu/requirements.txt Pin transformers==5.10.1
Qwen-Qwen3-4B/cpu/requirements.txt Pin transformers==5.10.1
Qwen-Qwen3-4B/cuda/requirements.txt Pin transformers==5.10.1
Qwen-Qwen3-4B/webgpu/requirements.txt Pin transformers==5.10.1
Qwen-Qwen3-8B/QNN/requirements.txt Pin transformers==5.10.1
Qwen-Qwen3-8B/cpu/requirements.txt Pin transformers==5.10.1
Qwen-Qwen3-8B/cuda/requirements.txt Pin transformers==5.10.1
Qwen-Qwen3-8B/webgpu/requirements.txt Pin transformers==5.10.1
Qwen-Qwen3-Embedding-0.6B/baseline/requirements.txt Pin transformers==5.10.1
Qwen-Qwen3-Embedding-0.6B/cpu/requirements.txt Pin transformers==5.10.1
Qwen-Qwen3-Embedding-0.6B/cuda/requirements.txt Pin transformers==5.10.1
Qwen-Qwen3-Embedding-0.6B/webgpu/requirements.txt Pin transformers==5.10.1
Qwen-Qwen3-Embedding-8B/baseline/requirements.txt Pin transformers==5.10.1
Qwen-Qwen3-Embedding-8B/cpu/requirements.txt Pin transformers==5.10.1
Qwen-Qwen3-Embedding-8B/cuda/requirements.txt Pin transformers==5.10.1
Qwen-Qwen3-Embedding-8B/webgpu/requirements.txt Pin transformers==5.10.1
Qwen-Qwen3.5-2B/baseline/requirements.txt Pin transformers==5.10.1
Qwen-Qwen3.5-2B/cpu/requirements.txt Pin transformers==5.10.1
Qwen-Qwen3.5-2B/cuda/requirements.txt Pin transformers==5.10.1
Qwen-Qwen3.5-2B/webgpu/requirements.txt Pin transformers==5.10.1
allenai-Olmo-3-7B-Instruct/baseline/requirements.txt Pin transformers==5.10.1
allenai-Olmo-3-7B-Instruct/cpu/requirements.txt Pin transformers==5.10.1
allenai-Olmo-3-7B-Instruct/cuda/requirements.txt Pin transformers==5.10.1
allenai-Olmo-3-7B-Instruct/webgpu/requirements.txt Pin transformers==5.10.1
amd-AMD-OLMo-1B-SFT-DPO/VitisAI/requirements_vitisai_llm.txt Pin transformers==5.10.1
codellama-CodeLlama-7b-Instruct-hf/RyzenAI/requirements_ryzenai_llm.txt Pin transformers==5.10.1
deepseek-ai-DeepSeek-R1-Distill-Llama-8B/RyzenAI/requirements_ryzenai_llm.txt Pin transformers==5.10.1
deepseek-ai-DeepSeek-R1-Distill-Llama-8B/VitisAI/requirements_vitisai_llm.txt Pin transformers==5.10.1
deepseek-ai-DeepSeek-R1-Distill-Qwen-1.5B/QNN/requirements.txt Pin transformers==5.10.1
deepseek-ai-DeepSeek-R1-Distill-Qwen-1.5B/RyzenAI/requirements_ryzenai_llm.txt Pin transformers==5.10.1
deepseek-ai-DeepSeek-R1-Distill-Qwen-1.5B/VitisAI/requirements_vitisai_llm.txt Pin transformers==5.10.1
deepseek-ai-DeepSeek-R1-Distill-Qwen-7B/RyzenAI/requirements_ryzenai_llm.txt Pin transformers==5.10.1
deepseek-ai-DeepSeek-R1-Distill-Qwen-7B/VitisAI/requirements_vitisai_llm.txt Pin transformers==5.10.1
gpt-oss-20b/RyzenAI/requirements_ryzenai_llm.txt Pin transformers==5.10.1
meta-llama-Llama-2-7b-chat-hf/RyzenAI/requirements_ryzenai_llm.txt Pin transformers==5.10.1
meta-llama-Llama-2-7b-chat-hf/VitisAI/requirements_vitisai_llm.txt Pin transformers==5.10.1
meta-llama-Llama-2-7b-hf/RyzenAI/requirements_ryzenai_llm.txt Pin transformers==5.10.1
meta-llama-Llama-2-7b-hf/VitisAI/requirements_vitisai_llm.txt Pin transformers==5.10.1
meta-llama-Llama-3.1-8B/RyzenAI/requirements_ryzenai_llm.txt Pin transformers==5.10.1
meta-llama-Llama-3.1-8B/VitisAI/requirements_vitisai_llm.txt Pin transformers==5.10.1
meta-llama-Llama-3.1-8B-Instruct/OpenVINO/requirements.txt Pin transformers==5.10.1
meta-llama-Llama-3.1-8B-Instruct/QAIRT/requirements.txt Pin transformers==5.10.1 (+ tornado)
meta-llama-Llama-3.1-8B-Instruct/QNN/requirements.txt Pin transformers==5.10.1
meta-llama-Llama-3.1-8B-Instruct/RyzenAI/requirements_ryzenai_llm.txt Pin transformers==5.10.1
meta-llama-Llama-3.1-8B-Instruct/VitisAI/requirements_vitisai_llm.txt Pin transformers==5.10.1
meta-llama-Llama-3.2-1B/RyzenAI/requirements_ryzenai_llm.txt Pin transformers==5.10.1
meta-llama-Llama-3.2-1B-Instruct/QNN/requirements.txt Pin transformers==5.10.1
meta-llama-Llama-3.2-1B-Instruct/RyzenAI/requirements_ryzenai_llm.txt Pin transformers==5.10.1
meta-llama-Llama-3.2-1B-Instruct/VitisAI/requirements_vitisai_llm.txt Pin transformers==5.10.1
meta-llama-Llama-3.2-1B-Instruct/olive/requirements.txt Pin transformers==5.10.1
meta-llama-Llama-3.2-3B-Instruct/RyzenAI/requirements_ryzenai_llm.txt Pin transformers==5.10.1
meta-llama-Llama-3.2-3B-Instruct/VitisAI/requirements_vitisai_llm.txt Pin transformers==5.10.1
meta-llama-Llama-3.2-3B/RyzenAI/requirements_ryzenai_llm.txt Pin transformers==5.10.1
meta-llama-Meta-Llama-3-8B/RyzenAI/requirements_ryzenai_llm.txt Pin transformers==5.10.1
meta-llama-Meta-Llama-3-8B/VitisAI/requirements_vitisai_llm.txt Pin transformers==5.10.1
microsoft-Phi-3-mini-128k-instruct/QNN/requirements.txt Pin transformers==5.10.1
microsoft-Phi-3-mini-128k-instruct/RyzenAI/requirements_ryzenai_llm.txt Pin transformers==5.10.1
microsoft-Phi-3-mini-128k-instruct/VitisAI/requirements_vitisai_llm.txt Pin transformers==5.10.1
microsoft-Phi-3-mini-4k-instruct/QNN/requirements.txt Pin transformers==5.10.1
microsoft-Phi-3-mini-4k-instruct/RyzenAI/requirements_ryzenai_llm.txt Pin transformers==5.10.1
microsoft-Phi-3-mini-4k-instruct/VitisAI/requirements_vitisai_llm.txt Pin transformers==5.10.1
microsoft-Phi-3.5-mini-instruct/QNN/requirements.txt Pin transformers==5.10.1
microsoft-Phi-3.5-mini-instruct/RyzenAI/requirements_ryzenai_llm.txt Pin transformers==5.10.1
microsoft-Phi-3.5-mini-instruct/VitisAI/requirements_vitisai_llm.txt Pin transformers==5.10.1
microsoft-Phi-4-mini-instruct/QNN/docker/requirements.txt Pin transformers==5.10.1
microsoft-Phi-4-mini-instruct/QAIRT/requirements.txt Pin transformers==5.10.1 (+ tornado, cryptography)
microsoft-Phi-4-mini-instruct/RyzenAI/requirements_ryzenai_llm.txt Pin transformers==5.10.1
microsoft-Phi-4-mini-instruct/VitisAI/requirements_vitisai_llm.txt Pin transformers==5.10.1
microsoft-Phi-4-mini-reasoning/RyzenAI/requirements_ryzenai_llm.txt Pin transformers==5.10.1
microsoft-Phi-4-mini-reasoning/VitisAI/requirements_vitisai_llm.txt Pin transformers==5.10.1
microsoft-Phi-4-reasoning/QNN/requirements.txt Pin transformers==5.10.1
microsoft-Phi-4-reasoning/QAIRT/requirements.txt Pin transformers==5.10.1
mistralai-Mistral-7B-Instruct-v0.1/RyzenAI/requirements_ryzenai_llm.txt Pin transformers==5.10.1
mistralai-Mistral-7B-Instruct-v0.2/RyzenAI/requirements_ryzenai_llm.txt Pin transformers==5.10.1
mistralai-Mistral-7B-Instruct-v0.2/VitisAI/requirements_vitisai_llm.txt Pin transformers==5.10.1
mistralai-Mistral-7B-Instruct-v0.3/QAIRT/requirements.txt Pin transformers==5.10.1 (+ tornado, cryptography)
mistralai-Mistral-7B-Instruct-v0.3/RyzenAI/requirements_ryzenai_llm.txt Pin transformers==5.10.1
mistralai-Mistral-7B-Instruct-v0.3/VitisAI/requirements_vitisai_llm.txt Pin transformers==5.10.1
mistralai-Mistral-7B-v0.3/RyzenAI/requirements_ryzenai_llm.txt Pin transformers==5.10.1
nvidia-Mistral-NeMo-12B-Instruct/baseline/requirements.txt Pin transformers==5.10.1
nvidia-Mistral-NeMo-12B-Instruct/cpu/requirements.txt Pin transformers==5.10.1
nvidia-Mistral-NeMo-12B-Instruct/cuda/requirements.txt Pin transformers==5.10.1
nvidia-Mistral-NeMo-12B-Instruct/webgpu/requirements.txt Pin transformers==5.10.1
openai-whisper-large-v3-turbo/cuda/eval-requirements.txt Pin transformers==5.10.1
sd-legacy-stable-diffusion-v1-5/VitisAI/requirements_vitisai_sd.txt Pin transformers==5.10.1
sd-legacy-stable-diffusion-v1-5/olive/requirements-common.txt Relax transformers upper bound
sd-legacy-stable-diffusion-v1-5/olive/requirements_qnn.txt Pin transformers==5.10.1
tencent-HY-MT1.5-1.8B/baseline/requirements.txt Pin transformers==5.10.1
tencent-HY-MT1.5-1.8B/cpu/requirements.txt Pin transformers==5.10.1
tencent-HY-MT1.5-1.8B/cuda/requirements.txt Pin transformers==5.10.1
tencent-HY-MT1.5-1.8B/webgpu/requirements.txt Pin transformers==5.10.1
Review details
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Comment on lines 9 to +10
# StableDiffusionSafetyChecker vision_model ignores attn_implementation
transformers<4.43.0
transformers<5.11.0
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