Claude 3 Haiku is a fast and compact model built by Anthropic for near-instant responsiveness. It's focus is on quick and accurate targeted performance.

Llama 3.2 3B is a 3-billion-parameter multilingual large language model, optimized for advanced natural language processing tasks like dialogue generation, reasoning, and summarization. Designed with the latest transformer architecture, it supports eight languages, including English, Spanish, and Hindi, and is adaptable for additional languages.

WizardLM-2 7B is the smaller variant of Microsoft AI's latest Wizard model. It is the fastest and achieves comparable performance with existing 10x larger opensource leading models. It is a finetune of Mistral 7B Instruct, using the same technique as WizardLM-2 8x22B.

HotBot Assistant is a comprehensive chat companion that can help you with a number of tasks based on how you talk to it.

A model specializing in RP and creative writing, this model is based on Qwen2.5-14B, fine-tuned with a mixture of synthetic and natural data. It is trained on 1.5M tokens of role-play data, and fine-tuned on 1.5M tokens of synthetic data.

Search GPT is a new way to search. Our advanced GPT search engine offers AI-powered capabilities for accurate and insightful results. Explore chat GPT features integrated with familiar search functions. Experience a faster, smarter search that prioritizes speed, accuracy, and user satisfaction.

Gemini 1.5 Flash is a fast and versatile performance across a diverse variety of tasks developed by Google.

Gemma 7b is an open model from Google. It is a lightweight, text-to-text, decoder-only large language model, trained on a massive dataset of text, code, and mathematical content for a variety of natural language processing tasks.

Liquid Foundation Models (LFMs) are large neural networks built with computational units rooted in dynamic systems. This mixture of experts model is built for general purpose AI, with an excellent handle on sequential data and context.

DeepSeek-V2.5 is an upgraded version that combines DeepSeek-V2-Chat and DeepSeek-Coder-V2-Instruct. The new model integrates the general and coding abilities of the two previous versions. DeepSeek-V2 Chat is a conversational finetune of DeepSeek-V2, a Mixture-of-Experts (MoE) language model. It comprises 236B total parameters, of which 21B are activated for each token. DeepSeek-V2 achieves remarkable performance on both standard benchmarks and open-ended generation evaluations.

Mixtral 8x7B, a high-quality sparse mixture of experts model (SMoE) with open weights from Mistral AI. It is a decoder-only model that picks from a set of 8 distinct groups of parameters. At every layer, for every token, a router network chooses two of these groups (the "experts") to process the token and combine their output.

Qwen2 VL 72B is a multimodal LLM from the Qwen Team with impressive multimedia and automations support.

A high-performing, industry-standard 7.3B parameter model, with optimizations for speed and context length.

Llama 3 is a group of foundation models from Meta. It natively supports multilinguality, coding, reasoning, and tool usage. The 8B variant is a light-weight, ultra-fast model that can run anywhere.

A 12B parameter model with a 128k token context length built by Mistral in collaboration with NVIDIA. The model is multilingual, supporting English, French, German, Spanish, Italian, Portuguese, Chinese, Japanese, Korean, Arabic, and Hindi.

GPT-4o Mini is OpenAI's most advanced model in the small models category. It is multimodal (accepting text or image inputs and outputting text), and has higher intelligence than gpt-3.5-turbo but is just as fast. It is meant to be used for smaller tasks, including vision tasks.

Llama 3 is a group of foundation models from Meta. It natively supports multilinguality, coding, reasoning, and tool usage. The 70B variant is a highly performant model that enables diverse use cases.

Jamba 1.5 Mini is the world's first production-grade Mamba-based model, combining SSM and Transformer architectures for a 256K context window and high efficiency. It works with 9 languages and can handle various writing and analysis tasks as well as or better than similar small models.

Euryale 70B v2.1 is a model focused on creative roleplay. It has improved prompt adherence and spatial awareness, and adapts quickly to custom roleplay and formatting.

Gemma2 9b is Google's redesigned open model, optimized for outsized performance and unmatched efficiency. Built from the same research and technology used to create the Gemini models, this model provides built-in safety advancements and an expanded parameter size while still being extremely fast.

Llama 3.1 is a group of open-source instruction-tuned models from Meta. These multilingual models have a context length of 128K, state-of-the-art tool use, and strong reasoning capabilities. The 8B variant is a light-weight, ultra-fast model that can run anywhere.

OpenChat 7B is a library of open-source language models, fine-tuned with C-RLFT (Conditioned Reinforcement Learning Fine-Tuning) - a strategy inspired by offline reinforcement learning. It has been trained on mixed-quality data without preference labels.

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WizardLM-2 8x22B is Microsoft AI's most advanced Wizard model. It demonstrates highly competitive performance compared to leading proprietary models, and it consistently outperforms all existing state-of-the-art opensource models. It is an instruct finetune of Mixtral 8x22B.

MythoMist merges a suite of models to reduce word anticipation, ministrations, and other undesirable words in ChatGPT roleplaying data.

Llama 3.1 is a group of open-source instruction-tuned models from Meta. These multilingual models have a context length of 128K, state-of-the-art tool use, and strong reasoning capabilities. The 70B variant is a highly performant model that enables diverse use cases.

Qwen2 VL 7B is a multimodal LLM from the Qwen Team with multimedia capabilities.

One of the highest performing and most popular fine-tunes of Llama 2 13B, with rich descriptions and roleplay.