llama.cpp
Repollama.cpp is an open-source C/C++ implementation for running quantized Llama and other GGUF large-language-model weights locally on CPUs and GPUs. It targets developers who want lightweight, offline inference without heavy framework dependencies.
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kube-llmops brings one-chart, cloud-agnostic LLM serving to any Kubernetes clust...2026-06-09An open-source project, kube-llmops, packages end-to-end LLM serving and ops for any Kubernetes cluster in a s...
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Open-weight coding models surge: Kimi K2.6 hype, Qwen3.6-27B runs local, Meta po...2026-04-23Open-weight coding models jumped forward this week, with Kimi K2.6 hype, a practical Qwen3.6-27B local setup, ...
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Local and edge AI cross the chasm: llama.cpp, Ollama-in-VS Code, and Akamai’s ed...2026-04-02Local and edge AI are now practical, with llama.cpp, Ollama in VS Code, and edge CDNs shaping real deployment ...
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MiniMax-M2.5 launches with SOTA coding claims; verify SWE-bench results2026-03-04MiniMax launched MiniMax-M2.5, a fast, low-cost coding and agentic model, but teams should validate its headli...