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Emmanuela Opurum
byEmmanuela Opurum@cloudsavant
DevOps & Cloud Solutions Architect skilled in AWS, Azure, GCP, CI/CD, multi-cloud strategy, and scalable infrastructure.
April 3rd, 2026
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Solutions Architect @Softnet Technologies
DevOps & Cloud Solutions Architect skilled in AWS, Azure, GCP, CI/CD, multi-cloud strategy, and scalable infrastructure.
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Help running Qwen3-Coder-Next TurboQuant (TQ3) model
I found a TQ3-quantized version of Qwen3-Coder-Next here: https://huggingface.co/edwardyoon79/Qwen3-Coder-Next-TQ3_0 According to the page, this model requires a compatible inference engine that supports TurboQuant. It also provides a command, but it doesn’t clearly specify which version or fork of llama.cpp should be used (or maybe I missed it). llama-server I’ve tried the following llama.cpp forks that claim to support TQ3, but none of them worked for me: https://github.com/TheTom/llama-cpp-turboquant https://github.com/turbo-tan/llama.cpp-tq3 https://github.com/drdotdot/llama.cpp-turbo3-tq3 If anyone has successfully run this model, I’d really appreciate it if you could share how you did it. submitted by /u/UnluckyTeam3478 [link] [comments]
trunk/3c9726cdf76b01c44fac8473c2f3d6d11249099e: Replace erase idiom for map/set with erase_if (#179373)
C++20 provides std::erase_if(container, pred) which is equivalent to the following much longer code snippet for associative containers: auto it = container.begin(); while (it != container.end()) { if ( pred (*it)) { it = container. erase (it); } else { ++it; } } PyTorch now supports C++20: #176662 Pull Request resolved: #179373 Approved by: https://github.com/cyyever , https://github.com/Skylion007
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Un tutorial paso a paso para instalar y configurar este plugin open-source que te permite gestionar formularios dinámicos directamente desde el panel de administración. Si alguna vez necesitaste manejar formularios de contacto, registros o cualquier tipo de captura de datos dentro de tu proyecto Strapi, sabes lo tedioso que puede ser configurarlo desde cero. strapi-plugin-form-builder-cms resuelve exactamente eso: un plugin para Strapi v5 que te da un constructor de formularios completo directo en el admin panel. En este tutorial vamos a instalar Strapi v5 desde cero, agregar el plugin, y levantar tu primer formulario en menos de 15 minutos. Requisitos previos: Node.js 18 o 20 LTS, npm 6+, y conocimientos básicos de terminal. El plugin funciona exclusivamente con Strapi v5. Repositorio: gi
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Help running Qwen3-Coder-Next TurboQuant (TQ3) model
I found a TQ3-quantized version of Qwen3-Coder-Next here: https://huggingface.co/edwardyoon79/Qwen3-Coder-Next-TQ3_0 According to the page, this model requires a compatible inference engine that supports TurboQuant. It also provides a command, but it doesn’t clearly specify which version or fork of llama.cpp should be used (or maybe I missed it). llama-server I’ve tried the following llama.cpp forks that claim to support TQ3, but none of them worked for me: https://github.com/TheTom/llama-cpp-turboquant https://github.com/turbo-tan/llama.cpp-tq3 https://github.com/drdotdot/llama.cpp-turbo3-tq3 If anyone has successfully run this model, I’d really appreciate it if you could share how you did it. submitted by /u/UnluckyTeam3478 [link] [comments]
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