v0.5.2

Release Notes

Patch release 0.5.2 adds:

• Fixes for bugs #1074, #1092 via PRs #1065 and #1070
• Fix Nuget sample in package README to show correct disposal of objects
• Added extra validation via PRs #1050 #1066

Features in 0.5.0:

• Support for MultiLoRA
• Support for multi-frame for Phi-3 vision and Phi-3.5 vision models
• Support for the Phi-3 MoE model
• Support for NVIDIA Nemotron model
• Support for the Qwen model
• Addition of the Set Terminate feature, which allows users to cancel mid-generation
• Soft capping support for Group Query Attention
• Extend quantization support to embedding and LM head layers
• Mac support in published packages

Known issues

• Models running with DirectML do not support batching
• Python 3.13 is not supported in this release

v0.5.1

Release Notes

In addition to the features in the 0.5.0 release, this release adds:

• Add ability to choose provider and modify options at runtime
• Fixed data leakage bug with KV caches

Features in 0.5.0:

• Support for MultiLoRA
• Support for multi-frame for Phi-3 vision and Phi-3.5 vision models
• Support for the Phi-3 MoE model
• Support for NVIDIA Nemotron model
• Support for the Qwen model
• Addition of the Set Terminate feature, which allows users to cancel mid-generation
• Soft capping support for Group Query Attention
• Extend quantization support to embedding and LM head layers
• Mac support in published packages

Known issues

• Models running with DirectML do not support batching
• Python 3.13 is not supported in this release

v0.5.0

Release Notes

• Support for MultiLoRA
• Support for multi-frame for Phi-3 vision and Phi-3.5 vision models
• Support for the Phi-3 MoE model
• Support for NVIDIA Nemotron model
• Support for the Qwen model
• Addition of the Set Terminate feature, which allows users to cancel mid-generation
• Soft capping support for Group Query Attention
• Extend quantization support to embedding and LM head layers
• Mac support in published packages

Known issues

• Models running with DirectML do not support batching
• Python 3.13 is not supported in this release

v0.4.0

Release Notes

• Support for new models such as Qwen 2, LLaMA 3.1, Gemma 2, Phi-3 small on CPU
• Support to build already-quantized models that were quantized with AWQ or GPTQ
• Performance improvements for Intel and Arm CPU
• Packing and language binding
  • Added Java bindings (build from source)
  • Separate OnnxRuntime.dll and directml.dll out of GenAI package to improve usability
  • Publish packages for Win Arm
  • Support for Android (build from source)

v0.3.0

Release Notes

• Phi-3 Vision model support for DML EP.
• Addressed DML memory leak issue and crashes on long prompts.
• Addressed crashes and slowness on CPU EP GQA on long prompts due to integer overflow issues.
• Added the import lib for windows C API package.
• Addressed a bug with get_output('logits') so that it returns the logits for the entire prompt and not for the last generated token.
• Addressed a bug with querying the device type of the model so that it won't crash.
• Added NetStandard 2.0 compatibility.

ONNX Runtime GenAI v0.3.0-rc2

Release Notes

• Added support for the Phi-3-Vision model.
• Added support for the Phi-3-Small model.
• Removed usage of std::filesystem to avoid runtime issues when loading incompatible symbols from stdc++ and stdc++fs.