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 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.

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.

Popular with developers as a powerful workhorse model, optimal for high-volume, high-frequency tasks at scale and highly capable of multimodal reasoning across vast amounts of information with a context window of 1 million tokens. 2.0 is Google's new flagship series of Gemini.

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

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.

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

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.

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.

The Meta Llama 3.3 multilingual large language model (LLM) is an instruction tuned generative model in 70B (text in/text out). It is optimized for multilingual dialogue use cases and outperforms many of the available open source and closed chat models on common industry benchmarks. Llama 3.3 is an auto-regressive language model that uses an optimized transformer architecture. The tuned versions use supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF) to align with human preferences for helpfulness and safety.

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.

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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.

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.

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

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

DeepSeek-V3 is the latest model from the DeepSeek team, building upon the instruction following and coding abilities of the previous versions. Pre-trained on nearly 15 trillion tokens, the reported evaluations reveal that the model outperforms other open-source models and rivals leading closed-source models.

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.

2.0 is the new flagship series of Gemini. Wanting to continue offering a model at the price and speed of 1.5 Flash, Google has created 2.0 Flash-Lite. A quick but powerful model updated to one million tokens for 2.0.

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.

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.

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.

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

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

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.