Run any open-source LLMs, such as Llama 2, Mistral, as OpenAI compatible API endpoint in the cloud.
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Updated
Jul 10, 2024 - Python
Run any open-source LLMs, such as Llama 2, Mistral, as OpenAI compatible API endpoint in the cloud.
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
The easiest way to serve AI/ML models in production - Build Model Inference Service, LLM APIs, Multi-model Inference Graph/Pipelines, LLM/RAG apps, and more!
🔮 SuperDuper: Bring AI to your database! Build, deploy and manage any AI application directly with your existing data infrastructure, without moving your data. Including streaming inference, scalable model training and vector search.
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Sparsity-aware deep learning inference runtime for CPUs
Code examples and resources for DBRX, a large language model developed by Databricks
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Multi-LoRA inference server that scales to 1000s of fine-tuned LLMs
dstack is an easy-to-use and flexible container orchestrator for running AI workloads in any cloud or data center.
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Official Implementation of EAGLE-1 and EAGLE-2
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irresponsible innovation. Try now at https://chat.dev/
GPU environment and cluster management with LLM support
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LLMs and Machine Learning done easily
The official repo of Aquila2 series proposed by BAAI, including pretrained & chat large language models.
Embedding Studio is a framework which allows you transform your Vector Database into a feature-rich Search Engine.
A tool for generating function arguments and choosing what function to call with local LLMs
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