v1.17.0: ITREX WOQ, IPEX pipeline, extended OpenVINO export

OpenVINO

• Enable Orion, InternLM2 export by @eaidova in #628

• Enable OLMo export by @eaidova in #678

• Enable Phi3 export by @eaidova in #686

• Enable BioGPT, Cohere, Persimmon, XGLM export by @eaidova in #709

• Enable Aquila, InternLM, XVERSE export by @eaidova in #716

• Add OVModelForVision2Seq class by @eaidova in #634

  from optimum.intel import OVModelForVision2Seq
  
  model = OVModelForVision2Seq.from_pretrained("nlpconnect/vit-gpt2-image-captioning", export=True)
  gen_tokens = model.generate(**inputs)

• Introduce OVQuantizationConfig for NNCF quantization by @nikita-savelyevv in #638

• Enable hybrid StableDiffusion models export via optimum-cli by @l-bat in #618

  optimum-cli export openvino --model SimianLuo/LCM_Dreamshaper_v7 --task latent-consistency  --dataset conceptual_captions --weight-format int8 <output_dir>
  

• Convert Tokenizers by default by @apaniukov in #580

• Custom tasks modeling by @IlyasMoutawwakil in #669

• Add dynamic quantization config by @echarlaix in #661

  from optimum.intel import OVModelForCausalLM, OVDynamicQuantizationConfig
  
  model_id = "meta-llama/Meta-Llama-3-8B"
  q_config = OVDynamicQuantizationConfig(bits=8, activations_group_size=32)
  model = OVModelForCausalLM.from_pretrained(model_id, export=True, quantization_config=q_config)

• Transition to a newer NNCF API for PyTorch model quantization by @nikita-savelyevv in #630

ITREX

• Add ITREX weight-only quantization support by @PenghuiCheng in #455

IPEX

• Add IPEX pipeline by @jiqing-feng in #501