Projects sharing features with TigerBot

“百聆”是一个基于LLaMA的语言对齐增强的英语/中文大语言模型，具有优越的英语/中文能力，在多语言和通用任务等多项测试中取得ChatGPT 90%的性能。BayLing is an English/Chinese LLM equipped with advanced language alignment, showing superior capability in English/Chinese generation, instruction following and multi-turn interaction.⚠️ This project has been moved to: https://github.com/BayLing-Models/BayLing

This project is a transformer-based language model and autoregressive text generator designed to predict the next token in a sequence to produce human-like prose and synthetic text. It functions as a large language model that utilizes a transformer architecture to learn linguistic patterns from large datasets for unsupervised multitask learning. The repository provides a distribution of pre-trained weights, enabling natural language processing tasks without requiring additional training. This allows the model to perform zero-shot task generalization by applying learned patterns to new tasks.

"桃李“: 国际中文教育大模型

Baichuan2 is a collection of pre-trained large language models, including base and chat variants, designed for natural language generation and multi-turn conversational AI. It provides an inference engine and a fine-tuning framework to adapt these models to custom datasets and specialized domains. The project features a quantization toolkit and an inference engine that enable model execution across diverse hardware, including graphics processors, central processors, and specialized accelerators. These tools support low-bit weight quantization to reduce memory usage and increase inference spee

This is the repo for a new financial domain large language model, InvestLM, tuned on LLaMA-65B1, using a carefully curated instruction dataset related to financial investment. We provide guidance on how to use InvestLM for inference.

ChatYuan: Large Language Model for Dialogue in Chinese and English

SecGPT网络安全大模型

QiZhenGPT: An Open Source Chinese Medical Large Language Model｜一个开源的中文医疗大语言模型

DevOps-Models is a series of industrial-first LLMs for theDevOps domain. Asking it for any question in the DevOps domain to get solution!

Agent that empowers software testing with LLMs; industrial-first in China

LexiLaw - 中文法律大模型

Baichuan-7B is an open-source 7 billion parameter bilingual Transformer model designed for text generation and few-shot learning across Chinese and English. It is built on a large Transformer architecture trained on a bilingual corpus, enabling it to produce coherent text in both languages from a single model. The model incorporates several optimization techniques that distinguish it from standard large language models. It uses rotary position embeddings that can extrapolate to longer sequences than seen during training, allowing context extension beyond the original 4096-token training lengt

Code and datasets for paper "K2: A Foundation Language Model for Geoscience Knowledge Understanding and Utilization" in WSDM-2024

Panda项目是于2023年5月启动的开源海外中文大语言模型项目，致力于大模型时代探索整个技术栈，旨在推动中文自然语言处理领域的创新和合作。

ChatAlpaca is a chat dataset that aims to help researchers develop models for instruction-following in multi-turn conversations. The dataset is an extension of the Stanford Alpaca data, which contains multi-turn instructions and their corresponding responses.

DeepSeek-Coder is a large language model and foundational neural network architecture designed specifically for software development tasks. It functions as an artificial intelligence assistant capable of interpreting complex programming instructions to generate, transpile, and structure source code. The system distinguishes itself through its ability to perform project-level code generation, analyzing broader context and patterns across entire software projects rather than isolated files. It supports multimodal input processing, allowing for the integration of text and visual data to inform i

DeepSeek-V2 is a large language model designed for natural language processing and the analysis of long text sequences. It utilizes a mixture-of-experts architecture to balance high performance with inference efficiency. The model employs a sparse routing mechanism and shared expert neurons to capture common knowledge while maintaining specialization. It further reduces memory overhead and increases throughput through multi-head latent attention, group-query attention, and low-rank tensor compression. These capabilities enable the processing and retrieval of information from extensive token

🤗 TransGPT-7B • 🤗 TransGPT-MM-6B • 🤖 DUOMO • 💬 WeChat

As a large language model dedicated to judicial institutions and law enforcement personnel, "TaiLing" aims to facilitate more accurate evidence analysis and case understanding in the field of justice, providing professional and precise intelligent assistance for judicial proceedings. It offers a…

The official repo of Aquila2 series proposed by BAAI, including pretrained & chat large language models.

FlagAI is a distributed deep learning framework and platform designed for the end-to-end lifecycle of large-scale foundation models. It provides a toolkit for training, fine-tuning, and deploying large language models and multi-modal systems across multi-node computing clusters. The project features hardware-agnostic compute abstractions to ensure consistent execution across different accelerators. It includes a dedicated library for parameter-efficient fine-tuning, allowing large neural networks to be adapted to specific tasks with minimal parameter updates and reduced computational overhead

HuatuoGPT, Towards Taming Language Models To Be a Doctor. (An Open Medical GPT)

⚡LLM Zoo is a project that provides data, models, and evaluation benchmark for large language models.⚡

DISC-FinLLM，中文金融大语言模型（LLM），旨在为用户提供金融场景下专业、智能、全面的金融咨询服务。DISC-FinLLM, a Chinese financial large language model (LLM) designed to provide users with professional, intelligent, and comprehensive financial consulting services in financial scenarios.

Alpaca dataset from Stanford, cleaned and curated

Code and Data for the paper: Multi-level Protein Structure Pre-training with Prompt Learning ICLR 2023

PolyLM is a polyglot large language model, which is aimed to address the following blanks and limitations in current LLM research, offering a comprehensive and innovative solution to advance this field.