makes it easy to deploy them at scale.ğŸ“„ï¸� RunhouseThe Runhouse allows remote compute and data across environments and users. See the Runhouse docs.ğŸ“„ï¸� SageMakerEndpointAmazon SageMaker is a system that can build, train, and deploy machine learning (ML) models for any use case with fully managed infrastructure, tools, and workflows.ğŸ“„ï¸� StochasticAIStochastic Acceleration Platform aims to simplify the life cycle of a Deep Learning model. From uploading and versioning the model, through training, compression and acceleration to putting it into production.ğŸ“„ï¸� Nebula (Symbl.ai)Nebula is a large language model (LLM) built by Symbl.ai. It is trained to perform generative tasks on human conversations. Nebula excels at modeling the nuanced details of a conversation and performing tasks on the conversation.ğŸ“„ï¸� TextGenGitHub:oobabooga/text-generation-webui A gradio web UI for running Large Language Models like LLaMA, llama.cpp, GPT-J, Pythia, OPT, and GALACTICA.ğŸ“„ï¸� Titan TakeoffTitanML helps businesses build and deploy better, smaller, cheaper, and faster NLP models through our training, compression, and inference optimization platform.ğŸ“„ï¸� Together AIThe Together API makes it easy to fine-tune or run leading open-source models with a couple lines of code. We have integrated the worldâ€™s leading open-source models, including Llama-2, RedPajama, Falcon, Alpaca, Stable Diffusion XL, and more. Read more//together.aiğŸ“„ï¸� Tongyi QwenTongyi Qwen is a large-scale language model developed by Alibaba's Damo Academy. It is capable of understanding user intent through natural language understanding and semantic analysis, based on user input in natural language. It provides services and assistance to users in different domains and tasks. By providing clear and detailed instructions, you can obtain results that better align with your expectations.ğŸ“„ï¸� vLLMvLLM is a fast and easy-to-use library for LLM inference and serving, offering:ğŸ“„ï¸� WriterWriter
Features (natively supported)
Features (natively supported) ->: makes it easy to deploy them at scale.ğŸ“„ï¸� RunhouseThe Runhouse allows remote compute and data across environments and users. See the Runhouse docs.ğŸ“„ï¸� SageMakerEndpointAmazon SageMaker is a system that can build, train, and deploy machine learning (ML) models for any use case with fully managed infrastructure, tools, and workflows.ğŸ“„ï¸� StochasticAIStochastic Acceleration Platform aims to simplify the life cycle of a Deep Learning model. From uploading and versioning the model, through training, compression and acceleration to putting it into production.ğŸ“„ï¸� Nebula (Symbl.ai)Nebula is a large language model (LLM) built by Symbl.ai. It is trained to perform generative tasks on human conversations. Nebula excels at modeling the nuanced details of a conversation and performing tasks on the conversation.ğŸ“„ï¸� TextGenGitHub:oobabooga/text-generation-webui A gradio web UI for running Large Language Models like LLaMA, llama.cpp, GPT-J, Pythia, OPT, and GALACTICA.ğŸ“„ï¸� Titan TakeoffTitanML helps businesses build and deploy better, smaller, cheaper, and faster NLP models through our training, compression, and inference optimization platform.ğŸ“„ï¸� Together AIThe Together API makes it easy to fine-tune or run leading open-source models with a couple lines of code. We have integrated the worldâ€™s leading open-source models, including Llama-2, RedPajama, Falcon, Alpaca, Stable Diffusion XL, and more. Read more//together.aiğŸ“„ï¸� Tongyi QwenTongyi Qwen is a large-scale language model developed by Alibaba's Damo Academy. It is capable of understanding user intent through natural language understanding and semantic analysis, based on user input in natural language. It provides services and assistance to users in different domains and tasks. By providing clear and detailed instructions, you can obtain results that better align with your expectations.ğŸ“„ï¸� vLLMvLLM is a fast and easy-to-use library for LLM inference and serving, offering:ğŸ“„ï¸� WriterWriter