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A project for tri-modal LLM benchmarking and instruction tuning.
A native PyTorch Library for large model training
Minimalistic large language model 3D-parallelism training
Use PEFT or Full-parameter to finetune 350+ LLMs or 90+ MLLMs. (LLM: Qwen2.5, Llama3.2, GLM4, Internlm2.5, Yi1.5, Mistral, Baichuan2, DeepSeek, Gemma2, ...; MLLM: Qwen2-VL, Qwen2-Audio, Llama3.2-Vi…
The official GitHub page for the survey paper "Foundation Models for Music: A Survey".
MTEB: Massive Text Embedding Benchmark
Parameter-efficient finetuning script for Phi-3-vision, the strong multimodal language model by Microsoft.
Zotero Plugins Collection | Zotero 插件合集 | Awesome Zotero Plugins
A python library for user-friendly forecasting and anomaly detection on time series.
TinyGPT-V: Efficient Multimodal Large Language Model via Small Backbones
This is a Phi-3 book for getting started with Phi-3. Phi-3, a family of open AI models developed by Microsoft. Phi-3 models are the most capable and cost-effective small language models (SLMs) avai…
AIR-Bench: Benchmarking Large Audio-Language Models via Generative Comprehension
Official website for "Empowering Time Series Analysis with Large Language Models: A Survey"
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
AIR-Bench: Automated Heterogeneous Information Retrieval Benchmark
Must-read Papers on Knowledge Editing for Large Language Models.
tiktoken is a fast BPE tokeniser for use with OpenAI's models.
High accuracy RAG for answering questions from scientific documents with citations
A large-scale information-rich web dataset, featuring millions of real clicked query-document labels
Easy to use stem (e.g. instrumental/vocals) separation from CLI or as a python package, using a variety of amazing pre-trained models (primarily from UVR)
A framework for few-shot evaluation of language models.
Get up and running with Llama 3.2, Mistral, Gemma 2, and other large language models.