30 open-source projects similar to fudandisc/disc-finllm, ranked by shared indexed features. Tags may describe platforms or build tools rather than the same primary purpose. Check each project’s use case, license, and deployment requirements before treating it as a replacement.
聚宝盆(Cornucopia): 中文金融系列开源可商用大模型,并提供一套高效轻量化的垂直领域LLM训练框架(Pretraining、SFT、RLHF、Quantize等)
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.
FinGPT is a suite of specialized financial tools and a framework for adapting large language models to the financial domain. It provides a set of pipelines for financial entity extraction, sentiment analysis, and retrieval-augmented generation to improve the accuracy of financial information systems. The project distinguishes itself through efficient training workflows, utilizing low-rank adaptation and quantized low-rank adaptation to fine-tune models on consumer-grade hardware. It employs market-labeled datasets and reinforcement learning that uses actual stock price movements as reward sig
论文链接:https://arxiv.org/abs/2302.09432
This project is a comprehensive collection of practical code examples and implementation libraries for machine learning. It provides a wide array of reference materials for building supervised, unsupervised, and reinforcement learning algorithms. The repository serves as a multi-domain resource, featuring specific implementation suites for financial AI, Bayesian statistical modeling, and deep learning architectures. It includes a framework for training intelligent agents using policy gradients and actor-critic models, as well as practical guides for fine-tuning transformers and utilizing larg
Agent that empowers software testing with LLMs; industrial-first in China
Code and datasets for paper "K2: A Foundation Language Model for Geoscience Knowledge Understanding and Utilization" in WSDM-2024
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
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…
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.⚡
Code and Data for the paper: Multi-level Protein Structure Pre-training with Prompt Learning ICLR 2023
An open-source educational chat model from ICALK, East China Normal University. 开源中英教育对话大模型。(通用基座模型,GPU部署,数据清理) 致敬: LLaMA, MOSS, BELLE, Ziya, vLLM
“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
夫子•明察司法大模型是由山东大学、浪潮云、中国政法大学联合研发,以 ChatGLM 为大模型底座,基于海量中文无监督司法语料与有监督司法微调数据训练的中文司法大模型。该模型支持法条检索、案例分析、三段论推理判决以及司法对话等功能,旨在为用户提供全方位、高精准的法律咨询与解答服务。
BELLE is a specialized implementation of Chinese conversational large language models, encompassing a full instruction tuning framework. It provides a pipeline for training, evaluating, and deploying models optimized for natural language understanding and dialogue tasks in the Chinese language. The project is distinguished by its integrated approach to model refinement, combining the curation of multi-million entry instruction datasets with a distributed training pipeline. This pipeline supports both full fine-tuning and low-rank adaptation to optimize conversational performance. The system
FinGLM: 致力于构建一个开放的、公益的、持久的金融大模型项目,利用开源开放来促进「AI+金融」。
TechGPT 2.0: Technology-Oriented Generative Pretrained Transformer 2.0
MOSS is a conversational AI platform, fine-tuning toolkit, and quantized model runtime. It provides a framework for deploying large language models capable of multi-turn dialogue, general-purpose response generation, and following complex instructions. The system functions as a tool-augmented framework that extends model knowledge through external plugins and tool-call loops. This allows the model to execute tasks via search engines and calculators to augment responses with external data. The project covers model training through supervised conversational fine-tuning and optimizes deployment
CVPR 2024 Highlight🔥 Chat-UniVi: Unified Visual Representation Empowers Large Language Models with Image and Video Understanding
ChatLaw is a specialized large language model legal assistant designed to provide automated consulting and question answering within Chinese legal frameworks. It functions as a system for legal knowledge management, processing complex legal texts to deliver accurate statutory answers and advisory services. The system utilizes a mixture-of-experts modeling approach and multi-agent coordination to research information and generate professional consultation reports. To ensure factual reliability and minimize hallucinations, it integrates a legal knowledge graph and a standardized operating proce
CVPR 2024 LION: Empowering Multimodal Large Language Model with Dual-Level Visual Knowledge
When FLUE Meets FLANG: Benchmarks and Large Pretrained Language Model for Financial Domain