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Metrics to evaluate quality and efficacy of synthetic datasets.
An Evaluation of ChatGPT on Information Extraction task, including Named Entity Recognition (NER), Relation Extraction (RE), Event Extraction (EE) and Aspect-based Sentiment Analysis (ABSA).
OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)
Guide for fine-tuning Llama/Mistral/CodeLlama models and more
Let's build better datasets, together!
An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.
LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning
Running large language models on a single GPU for throughput-oriented scenarios.
Use PEFT or Full-parameter to finetune 300+ LLMs or 60+ MLLMs. (Qwen2, GLM4v, Internlm2.5, Yi, Llama3.1, Llava-Video, Internvl2, MiniCPM-V-2.6, Deepseek, Baichuan2, Gemma2, Phi3-Vision, ...)
LLM based autonomous agent that does online comprehensive research on any given topic
Multi-LoRA inference server that scales to 1000s of fine-tuned LLMs
PECOS - Prediction for Enormous and Correlated Spaces
🏗️ Fine-tune, build, and deploy open-source LLMs easily!
Build, customize and control you own LLMs. From data pre-processing to fine-tuning, xTuring provides an easy way to personalize open-source LLMs. Join our discord community: https://discord.gg/TgHX…
A Gradio web UI for Large Language Models.
A code repository that cointains all the code for finetuning some of the popular LLMs on medical data
Training LLMs with QLoRA + FSDP
Vector Database with support for late interaction and token level embeddings.
🦉 Modern high-performance serialization utilities for Python (JSON, MessagePack, Pickle)
A scalable, distributed, collaborative, document-graph database, for the realtime web
A native PyTorch Library for large model training