Small Language Model tailored for edge devices.
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A platform for deploying and serving machine learning models.
MiMo Studio helps build, test, automate, or manage AI agents, prompts, models, and API workflows.
MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.
MiniMax AI helps build, test, automate, or manage AI agents, prompts, models, and API workflows.
Intuitive convenience tooling for lightning-fast, efficient development and ensuring quality in LLM-based applications.
Mistral Studio helps build, test, automate, or manage AI agents, prompts, models, and API workflows.
Mixtral-8x7B Large Language Model (LLM) is a pretrained generative Sparse Mixture of Experts.
ML Visualized supports machine learning models, deployment, inspection, datasets, or AI development workflows.
mlsysbook supports machine learning models, deployment, inspection, datasets, or AI development workflows.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Model Railroader is a magazine publishing features, commentary and specialist editorial coverage.
Framework that implements AutoML algorithms for model architecture search at scale.
Discover open source deep learning code and pretrained models.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
ModelScope supports machine learning models, deployment, inspection, datasets, or AI development workflows.
ModelScope Finetuning supports machine learning models, deployment, inspection, datasets, or AI development workflows.
OpenAI compatible API for LLMs and embeddings (LLaMA, Vicuna, ChatGLM and many others).
Creates or edits images with generative models and visual controls.
Serve Llama 2 and other large language models locally from command line or through a browser interface.
Voice AI that turns calls into outcomes - and gets sharper with each one. Our own model, built for the phone. Sub-400ms response. Live in days.
Fujitsu Research's post-training quantization pipeline for LLMs (QEP, AutoBit, JointQ, rotation) with vLLM plugin (arXiv:2603.28845).
Jan - Run LLMs like Mistral or Llama2 locally and offline on your computer, or connect to remote AI APIs.
Use AutoML to do model compression.