wangkl2

ipex-llm

Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, Baichuan, Mixtral, Gemma, Phi, MiniCPM, etc.) on Intel XPU (e.g., local PC with iGPU and NPU, discrete GPU such as Arc, Flex and Max); seamlessly integrate with llama.cpp, Ollama, HuggingFace, LangChain, LlamaIndex, GraphRAG, DeepSpeed, vLLM, FastChat, Axolotl, etc.

ai-reference-models

Intel® AI Reference Models: contains Intel optimizations for running deep learning workloads on Intel® Xeon® Scalable processors and Intel® Data Center GPUs

oneAPI-samples

Samples for Intel® oneAPI Toolkits

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

ai-documents

GenAIExamples

Generative AI Examples is a collection of GenAI examples such as ChatQnA, Copilot, which illustrate the pipeline capabilities of the Open Platform for Enterprise AI (OPEA) project.

inference_results_v2.1

Model-References

Reference models for Intel(R) Gaudi(R) AI Accelerator

models

Model Zoo for Intel® Architecture: contains Intel optimizations for running deep learning workloads on Intel® Xeon® Scalable processors

oneAPI-samples

Samples for Intel oneAPI toolkits

wangkl2/ai-documents

wangkl2/GenAIExamples

Generative AI Examples is a collection of GenAI examples such as ChatQnA, Copilot, which illustrate the pipeline capabilities of the Open Platform for Enterprise AI (OPEA) project.

wangkl2/inference_results_v2.1

wangkl2/Model-References

Reference models for Intel(R) Gaudi(R) AI Accelerator

wangkl2/models

Model Zoo for Intel® Architecture: contains Intel optimizations for running deep learning workloads on Intel® Xeon® Scalable processors

wangkl2/oneAPI-samples

Samples for Intel oneAPI toolkits