Olive-ai 0.12.0

Olive 0.12.0

New Features

• olive init interactive wizard (#2346, by @xiaoyu-work): Added a guided CLI experience to help users
  configure and generate Olive optimization commands more easily.
• Olive MCP server (#2353, by @xiaoyu-work): Added an MCP server for tool and agent integrations around
  Olive workflows.
• QAIRT ORT to Genie workflow (#2358, by @qti-kromero): Added an end-to-end Qualcomm workflow with new
  preparation, GenAI builder, and encapsulation passes.
• Qwen3-VL and multi-image Qwen VL support (#2345, by @hanbitmyths): Added export and optimization
  support for Qwen3-VL and Qwen2.5-VL, plus new ONNX graph surgeries and 8-bit Gather quantization improvements.
• AutoClip quantization pass (#2324, by @jambayk): Added automatic clipping search for linear layers
  before quantization.
• Layer annotation support (#2361, by @yuslepukhin): Added CaptureLayerAnnotations and ONNX
  propagation so layer metadata can be preserved through conversion.
• NVModelOptGraphSurgery pass (#2377, by @hthadicherla): Added NVIDIA ModelOpt graph surgery
  integration for ONNX models.

Improvements

• AMD Quark quantization updates (#2364, by @poganesh): Updated the Quark pass for Quark 0.11, VitisAI
  LLM fusion, token fusion, and GPT-OSS pre-quantized models.
• HQQ and RTN external data handling (#2380, by @Lidang-Jiang): Fixed ONNX quantization output
  correctness when input models store weights as external data.
• Transformers 5.0+ compatibility (#2328, by @xiaoyu-work): Updated export and training flows for the
  new DynamicCache format and related argument handling.
• Telemetry robustness (#2405, by @bmehta001): Fixed Linux and macOS device ID handling, auto-disabled
  telemetry in CI, and improved cache and exporter reliability.

Security

• PyTorch model loading hardening (#2389, by @jambayk): Removed unsafe legacy torch.load(..., weights_only=False) loading paths, removed PYTORCH_ENTIRE_MODEL, and now require model_loader for PyTorch models.
• Pydantic v2 migration (#2330, by @shaahji): Migrated Olive to Pydantic v2 across the codebase and
  updated validators, config patterns, and model serialization.