Explore Our Models

A continuation of [OpenHermes 2 model](/models/teknium/openhermes-2-mistral-7b), trained on additional code datasets. Potentially the most interesting finding from training on a good ratio (est. of around 7-14% of the total dataset) of code instruction was that it has boosted several non-code benchmarks, including TruthfulQA, AGIEval, and GPT4All suite. It did however reduce BigBench benchmark score, but the net gain overall is significant.

LLaVA is a large multimodal model that combines a vision encoder and Vicuna for general-purpose visual and language understanding, achieving impressive chat capabilities and setting a new state-of-the-art accuracy on Science QA. #multimodal

This model is trained on the Yi-34B model for 3 epochs on the Capybara dataset. It's the first 34B Nous model and first 200K context length Nous model.

Ability to understand images, in addition to all other [GPT-4 Turbo capabilties](/models/openai/gpt-4-turbo). Training data: up to Apr 2023. **Note:** heavily rate limited by OpenAI while in preview. #multimodal

A Mythomax/MLewd_13B-style merge of selected 70B models. A multi-model merge of several LLaMA2 70B finetunes for roleplaying and creative work. The goal was to create a model that combines creativity with intelligence for an enhanced experience. #merge #uncensored

A large LLM created by combining two fine-tuned Llama 70B models into one 120B model. Combines Xwin and Euryale. Credits to - [@chargoddard](https://huggingface.co/chargoddard) for developing the framework used to merge the model - [mergekit](https://github.com/cg123/mergekit). - [@Undi95](https://huggingface.co/Undi95) for helping with the merge ratios. #merge

A wild 7B parameter model that merges several models using the new task_arithmetic merge method from mergekit. List of merged models: - NousResearch/Nous-Capybara-7B-V1.9 - [HuggingFaceH4/zephyr-7b-beta](/models/huggingfaceh4/zephyr-7b-beta) - lemonilia/AshhLimaRP-Mistral-7B - Vulkane/120-Days-of-Sodom-LoRA-Mistral-7b - Undi95/Mistral-pippa-sharegpt-7b-qlora #merge #uncensored

Your prompt will be processed by a meta-model and routed to one of dozens of models (see below), optimizing for the best possible output. To see which model was used, visit [Activity](/activity), or read the `model` attribute of the response. Your response will be priced at the same rate as the routed model. The meta-model is powered by [Not Diamond](https://docs.notdiamond.ai/docs/how-not-diamond-works). Learn more in our [docs](/docs/model-routing). Requests will be routed to the following models: - [openai/gpt-5.1](/openai/gpt-5.1) - [openai/gpt-5](/openai/gpt-5) - [openai/gpt-5-mini](/openai/gpt-5-mini) - [openai/gpt-5-nano](/openai/gpt-5-nano) - [openai/gpt-4.1](/openai/gpt-4.1) - [openai/gpt-4.1-mini](/openai/gpt-4.1-mini) - [openai/gpt-4.1-nano](/openai/gpt-4.1-nano) - [openai/gpt-4o](/openai/gpt-4o) - [openai/gpt-4o-2024-05-13](/openai/gpt-4o-2024-05-13) - [openai/gpt-4o-2024-08-06](/openai/gpt-4o-2024-08-06) - [openai/gpt-4o-2024-11-20](/openai/gpt-4o-2024-11-20) - [openai/gpt-4o-mini](/openai/gpt-4o-mini) - [openai/gpt-4o-mini-2024-07-18](/openai/gpt-4o-mini-2024-07-18) - [openai/gpt-4-turbo](/openai/gpt-4-turbo) - [openai/gpt-4-turbo-preview](/openai/gpt-4-turbo-preview) - [openai/gpt-4-1106-preview](/openai/gpt-4-1106-preview) - [openai/gpt-4](/openai/gpt-4) - [openai/gpt-3.5-turbo](/openai/gpt-3.5-turbo) - [openai/gpt-oss-120b](/openai/gpt-oss-120b) - [anthropic/claude-opus-4.5](/anthropic/claude-opus-4.5) - [anthropic/claude-opus-4.1](/anthropic/claude-opus-4.1) - [anthropic/claude-opus-4](/anthropic/claude-opus-4) - [anthropic/claude-sonnet-4.5](/anthropic/claude-sonnet-4.5) - [anthropic/claude-sonnet-4](/anthropic/claude-sonnet-4) - [anthropic/claude-3.7-sonnet](/anthropic/claude-3.7-sonnet) - [anthropic/claude-haiku-4.5](/anthropic/claude-haiku-4.5) - [anthropic/claude-3.5-haiku](/anthropic/claude-3.5-haiku) - [anthropic/claude-3-haiku](/anthropic/claude-3-haiku) - [google/gemini-3-pro-preview](/google/gemini-3-pro-preview) - [google/gemini-2.5-pro](/google/gemini-2.5-pro) - [google/gemini-2.0-flash-001](/google/gemini-2.0-flash-001) - [google/gemini-2.5-flash](/google/gemini-2.5-flash) - [mistralai/mistral-large](/mistralai/mistral-large) - [mistralai/mistral-large-2407](/mistralai/mistral-large-2407) - [mistralai/mistral-large-2411](/mistralai/mistral-large-2411) - [mistralai/mistral-medium-3.1](/mistralai/mistral-medium-3.1) - [mistralai/mistral-nemo](/mistralai/mistral-nemo) - [mistralai/mistral-7b-instruct](/mistralai/mistral-7b-instruct) - [mistralai/mixtral-8x7b-instruct](/mistralai/mixtral-8x7b-instruct) - [mistralai/mixtral-8x22b-instruct](/mistralai/mixtral-8x22b-instruct) - [mistralai/codestral-2508](/mistralai/codestral-2508) - [x-ai/grok-4](/x-ai/grok-4) - [x-ai/grok-3](/x-ai/grok-3) - [x-ai/grok-3-mini](/x-ai/grok-3-mini) - [deepseek/deepseek-r1](/deepseek/deepseek-r1) - [meta-llama/llama-3.3-70b-instruct](/meta-llama/llama-3.3-70b-instruct) - [meta-llama/llama-3.1-405b-instruct](/meta-llama/llama-3.1-405b-instruct) - [meta-llama/llama-3.1-70b-instruct](/meta-llama/llama-3.1-70b-instruct) - [meta-llama/llama-3.1-8b-instruct](/meta-llama/llama-3.1-8b-instruct) - [meta-llama/llama-3-70b-instruct](/meta-llama/llama-3-70b-instruct) - [meta-llama/llama-3-8b-instruct](/meta-llama/llama-3-8b-instruct) - [qwen/qwen3-235b-a22b](/qwen/qwen3-235b-a22b) - [qwen/qwen3-32b](/qwen/qwen3-32b) - [qwen/qwen3-14b](/qwen/qwen3-14b) - [cohere/command-r-plus-08-2024](/cohere/command-r-plus-08-2024) - [cohere/command-r-08-2024](/cohere/command-r-08-2024) - [moonshotai/kimi-k2-thinking](/moonshotai/kimi-k2-thinking) - [perplexity/sonar](/perplexity/sonar)

The latest GPT-4 Turbo model with vision capabilities. Vision requests can now use JSON mode and function calling. Training data: up to April 2023.

An older GPT-3.5 Turbo model with improved instruction following, JSON mode, reproducible outputs, parallel function calling, and more. Training data: up to Sep 2021.