1 repo
Awesome GitHub RepositoriesInference APIs
Standardized network interfaces for serving machine learning model predictions and capabilities to external applications.
Distinguishing note: Focuses on the network-facing API layer for model serving, distinct from local CLI or UI interfaces.
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Awesome Inference APIs GitHub Repositories
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- jingyaogong/minimind
jingyaogong/minimind
39,663View on GitHubThis project is a comprehensive framework for the entire lifecycle of transformer-based language models, supporting everything from foundational pretraining to specialized deployment. It provides a modular toolkit for defining neural network architectures, managing data preparation pipelines, and executing training routines across various scales. The framework is designed to handle the full model development process, including supervised fine-tuning, behavioral alignment, and the integration of agentic capabilities. What distinguishes this framework is its focus on efficient training and adva
The framework exposes model capabilities through a standardized network API, supporting advanced features like tool calling and structured output for integration with external applications.
Pythonartificial-intelligencelarge-language-model
