Intel® LLM library for PyTorch* - GitHub
WEBIPEX-LLM is a PyTorch library for running LLM on Intel CPU and GPU (e.g., local PC with iGPU, discrete GPU such as Arc, Flex and Max) with very low latency. Note. It is built on top of the excellent work of llama.cpp, transformers, bitsandbytes, vLLM, qlora, …
Accelerate LLM Inference on Your Local PC
WEBGet instructions for running large language model (LLM) inference on Intel® Core™ Ultra processors and Intel® Arc™ A-series graphics using IPEX-LLM.
Wield The Power of LLMs On Intel® Arc™ GPUs
WEBApr 18, 2024 · IPEX-LLM takes advantage of the X e-cores XMX AI acceleration on Intel discrete GPUs like Arc A-series graphics cards for improved performance. It supports Intel Arc A-series graphics on Windows Subsystem for Linux version 2, native Windows environments, and native Linux.
BigDL-LLM: Easily Optimize Your Large Language Model on Intel…
WEBOct 24, 2023 · This post will show you how to enable BigDL-LLM on Intel® Arc™ GPU and provide a short demo showcasing the real-time performance of a LLaMa 2* LLM accelerated by BigDL-LLM, running on a...
Intel neural-chat-7b Model Achieves Top Ranking on LLM …
WEBNov 30, 2023 · The Intel neural-chat-7b model has achieved the #1 ranking for 7-billion-parameter models on the Hugging Face Open LLM Leaderboard. It first reached the top of the leaderboard with an average score of 59.06 on November 13, 2023, and was still on top as of this post’s publication:
Fine-Tuning the Falcon LLM 7-Billion Parameter Model on Intel
WEBExplore the challenge of optimizing the Falcon LLM on Intel® Xeon® processors with Intel® AMX using Hugging Face APIs and Intel® oneAPI tools.
Q8-Chat LLM: An Efficient Generative AI Experience on Intel® CPUs
WEBGet a primer on LLM optimization techniques on Intel® CPUs, then learn about (and try) Q8-Chat, a ChatGBT-like experience from Hugging Face and Intel.
Advancing Large Language Models on Intel Platforms
WEBDec 19, 2023 · Intel Extension for Transformers provides an efficient runtime to accelerate LLM inference through the state-of-the-art model compression techniques such as 4-bit quantization. The following ...
Accelerating Language Models: Intel and Microsoft Collaborate to …
WEBMay 22, 2024 · With Large Language Models (LLM) demanding increased compute and memory capabilities, Intel and Microsoft have joined forces to propel AI workloads with solutions to enable LLMs on a vast range of Intel client platforms.
Intel® Extension for Transformers - GitHub
WEBIntel® Extension for Transformers is an innovative toolkit designed to accelerate GenAI/LLM everywhere with the optimal performance of Transformer-based models on various Intel platforms, including Intel Gaudi2, Intel CPU, and Intel GPU.
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