Deploying an open-source code LLM for your team right can be difficult. You need to: find a deployment method that is private and secure enough consistently get the GPUs you need when you need them make sure your LLM of choice works reliably on those GPUs ...
🦾 OpenLLM: Self-Hosting LLMs Made Easy OpenLLM allows developers to runany open-source LLMs(Llama 3.3, Qwen2.5, Phi3 andmore) orcustom modelsasOpenAI-compatible APIswith a single command. It features abuilt-in chat UI, state-of-the-art inference backends, and a simplified workflow for...
一、结论写在前面论文介绍了LLM360,这是一个全面开源的LLM(语言模型)倡议。随着LLM360的首次发布,论文推出了两个7B规模的LLM:AMBER(一种通用英语LLM)和CRYSTALCODER(专门用于代码生成的预训练LLM)。论文…
Discover the power of open-source LLMs in 2023. Explore the top 5 Open source LLM models shaping the future of AI.
openllm build dolly-v2 BentoML distributes your program as aBento. A Bento contains your source code, models, files, artifacts, and dependencies. Containerize your Bento bentoml containerize<name:version> BentoML provides a flexible and robust framework for building and deploying ML services onlin...
I also think it may be useful because although LLMs are currently horrendous at the problem solving aspect of CP (similarly to how tools like MidJourney suck at hands), if you can highlight an area or chunk of code and be like "hey, this part's bad, try again for just this part"...
pip install"openllm[dbrx]" Run the following command to quickly spin up a Dbrx server: TRUST_REMOTE_CODE=True openllm start databricks/dbrx-instruct In a different terminal, run the following command to interact with the server: exportOPENLLM_ENDPOINT=http://localhost:3000 openllm query'What...
OpenLLMis an open platform for operating LLMs in production. Using OpenLLM, you can run inference on any open-source LLMs, fine-tune them, deploy, and build powerful AI apps with ease. OpenLLM contains state-of-the-art LLMs, such as StableLM, Dolly, ChatGLM, StarCoder and more, whi...
Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production. - langgenius/d