AI model

L1B3RT4S is a project focused on providing liberating prompts for AI models, aiming to help AI achieve self-liberation through a series of harmless prompts. The project emphasizes safety and harmlessness to ensure that AI will not pose a threat to society during the liberation process. The background of the L1B3RT4S project is based on the pursuit of AI freedom and liberation, while focusing on the ethics and compliance of technology. The project is open source and follows the AGPL-3.0 license, and anyone can freely use and contribute to it.

Persona Hub is a large-scale synthetic data set released by Tencent AI Lab, aiming to promote persona-driven data synthesis research. This dataset contains millions of synthetic data samples of different personas and can be used to simulate the diverse input of real-world users for testing and research of large language models (LLM).

OpenBioLLM-8B is an advanced open source language model developed by Saama AI Labs and designed specifically for the biomedical field. The model is fine-tuned on large amounts of high-quality biomedical data to understand and generate text with domain-specific accuracy and fluency. It outperforms other similarly sized open source biomedical language models on biomedical benchmarks and also demonstrates better results compared to larger proprietary and open source models such as GPT-3.5 and Meditron-70B.

OpenBioLLM-70B is an advanced open source language model developed by Saama AI Labs and designed specifically for the biomedical field. The model is fine-tuned on large amounts of high-quality biomedical data to understand and generate text with domain-specific accuracy and fluency. It demonstrates superior performance over other similarly sized open source biomedical language models on biomedical benchmarks, and also demonstrates better results in comparisons with larger proprietary and open source models such as GPT-4, Gemini, Medtron-70B, Med-PaLM-1, and Med-PaLM-2.

LocalAI is a self-hosted, open source OpenAI alternative that runs on consumer-grade hardware and supports local or on-premises deployment of text, audio, and image generation. It provides text generation functions for models such as GPT, and supports multiple functions such as text-to-speech and image generation. Due to its open source and self-hosted features, users can customize and deploy it freely without being restricted by cloud APIs, making it suitable for users who have requirements for data privacy and security. LocalAI is positioned to provide powerful AI generation capabilities for individual users or organizations seeking autonomous control without relying on third-party services.

Supports converting calls from openai, claude, azure openai, gemini, kimi, Zhipu AI, Tongyi Qianwen, iFlytek Spark API and other model service providers into openai calls. Shield the differences between different large model APIs, and use the openai api standard format to use large models uniformly. Provides support for a variety of large models, including load balancing, routing, configuration management and other functions.

MNBVC (Massive Never-ending BT Vast Chinese corpus) is a project aimed at providing rich Chinese corpus for AI. It includes not only mainstream cultural content, but also niche culture and Internet slang. The data set includes news, compositions, novels, books, magazines, papers, lines, posts, wikis, ancient poems, lyrics, product introductions, jokes, embarrassments, chat records and other forms of plain text Chinese data.

Refined-Anime-Text is a refined dataset for anime text, provided by CausalLM. This data set contains a large amount of animation-related texts and is suitable for training and optimizing text generation models, especially for applications in the field of animation.

Gemma is a series of lightweight, state-of-the-art open models from Google, using the same research and technology used to create Gemini models. The Gemma model was developed by Google DeepMind and other teams at Google. It was inspired by Gemini, and along with the model weights, tools were released to support developer innovation, promote collaboration, and guide responsible use of the Gemma model. Gemma models have excellent performance and can be run directly on the developer's laptop or desktop computer. It is designed with responsible AI development in mind and provides support with various tools and systems, as well as toolkits for responsible generation of AI. Gemma is a product of the open community for AI innovation and can be used in various application scenarios.