1 dépôt
Awesome GitHub RepositoriesRuntime State Controllers
Utilities for inspecting metadata, updating weights, and clearing caches during active inference.
Distinct from Model Weight Management: Focuses on active runtime state management rather than static weight file management.
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Awesome Runtime State Controllers GitHub Repositories
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- sgl-project/sglang
sgl-project/sglang
29,079Voir sur GitHubSglang is a high-performance inference engine and serving system designed for large language and multimodal models. It provides a programmable interface for orchestrating complex generation workflows, enabling developers to coordinate multi-turn dialogues, tool invocations, and reasoning chains through a domain-specific language. The platform is built to support production-scale deployments, offering an OpenAI-compatible API that allows for integration with existing application ecosystems. The system distinguishes itself through a disaggregated architecture that separates compute-intensive pr
Inspects model metadata, updates weights dynamically without restarting, and clears internal caches to maintain performance.
Pythonattentionblackwellcuda
