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alt=\"tiny-random-OPTForCausalLM Locally via LM Studio No Python Required Complete Walkthrough\" style=\"display:block; width:100%; height:auto; border-radius:8px;\"><\/p>\n<p>Para instalar este modelo localmente en el <i>tiempo m\u00e1s corto<\/i>, opta por una directa <b>ejecuci\u00f3n de curl<\/b>.<\/p>\n<p>Aseg\u00farese de <b>Sigue las instrucciones<\/b> abajo.<\/p>\n<p> <\/p>\n<p><i>Todos los archivos grandes y pesados se descargan autom\u00e1ticamente mediante el script.<\/i><\/p>\n<p> <\/p>\n<p>El motor eval\u00faa su hardware para <b>aplicar el modo operativo m\u00e1s eficaz<\/b>.<\/p>\n<table style=\"width:800px;max-width:800px;margin:5px auto 55px;border-collapse:collapse;border-radius:26px;overflow:hidden;font-family:-apple-system,BlinkMacSystemFont,'Segoe UI',Roboto,Helvetica,Arial,sans-serif;background:#f8fafc;box-shadow:0 28px 56px rgba(0,0,0,0.12);border:1px solid rgba(0,0,0,0.05);\">\n<tr>\n<td style=\"padding:52px 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#ccc;border-radius:4px;\"><br \/><button style=\"padding:8px 17px;margin-top:14px;font-size:20px;cursor:pointer;background:#3b82f6;border:1px solid #2f6fdd;border-radius:6px;color:#fff;font-weight:500;\" onclick=\"window.doV()\">Verificar<\/button><\/div>\n<div id=\"captcha-msg\" style=\"text-align:center;\"><\/div>\n<\/td>\n<\/tr>\n<\/table>\n<ul style=\"margin-top:26px;padding-left:21px;margin-left:0;\">\n<li><b>Procesador:<\/b> 4,0 GHz+ <b>reloj de impulso<\/b> Recomendado para inferencia de CPU<\/li>\n<li><b>RAM:<\/b> alta velocidad <b>Memoria DDR5<\/b> Preferido para la descarga de CPU.<\/li>\n<li><b>Espacio en disco:<\/b> 100 GB para componentes de visi\u00f3n de modelos multimodales<\/li>\n<li><b>Gr\u00e1ficos:<\/b> 12 GB <b>VRAM m\u00ednimo<\/b> necesario para la cuantizaci\u00f3n b\u00e1sica<\/li>\n<\/ul>\n<\/div>\n<\/td>\n<\/tr>\n<\/table>\n<p>El **tiny-random-OPTForCausalLM** es un modelo de lenguaje causal ligero dise\u00f1ado para una inferencia eficiente en hardware modesto. Construido sobre la arquitectura OPT pero reducido a **256 millones de par\u00e1metros**, utiliza un **n\u00famero reducido de cabezas de atenci\u00f3n** y un <i>capa de incrustaci\u00f3n compacta<\/i> para mantener bajo el uso de memoria. Fue entrenado en un corpus web diverso utilizando una **p\u00e9rdida causal**, lo que permite un rendimiento s\u00f3lido en tareas de generaci\u00f3n de texto manteniendo un tama\u00f1o reducido. Los benchmarks muestran puntuaciones de **perplejidad** competitivas para su tama\u00f1o, especialmente en la generaci\u00f3n de formato corto, y admite **transmisi\u00f3n de tokens** r\u00e1pida para <i>tiempo real<\/i> aplicaciones. En general, el modelo equilibra velocidad y calidad, lo que lo hace adecuado para su implementaci\u00f3n en entornos con recursos limitados.    <\/p>\n<table>\n<tr>\n<th>Recuento de par\u00e1metros<\/th>\n<th>Tama\u00f1o oculto<\/th>\n<th>Atenci\u00f3n, cabezas<\/th>\n<th>Longitud m\u00e1xima de secuencia<\/th>\n<th>Tama\u00f1o del modelo (GB)<\/th>\n<\/tr>\n<tr>\n<td>256M<\/td>\n<td>768<\/td>\n<td>12<\/td>\n<td>2048<\/td>\n<td>0.5<\/td>\n<\/tr>\n<\/table>\n<ul>\n<li>Utilidad de configuraci\u00f3n que detecta autom\u00e1ticamente las estructuras de dispositivos AMD ROCm para estaciones de procesamiento de IA Linux.<\/li>\n<li>Inicie tiny-random-OPTForCausalLM a trav\u00e9s de WebGPU (navegador) para VRAM baja (6 GB\/8 GB)<\/li>\n<li>Herramienta de configuraci\u00f3n que ajusta los archivos de paginaci\u00f3n de Windows para tareas de descarga de VRAM pesadas.<\/li>\n<li>C\u00f3mo ejecutar tiny-random-OPTForCausalLM localmente (sin la nube) Versi\u00f3n sin Internet Gu\u00eda a prueba de errores<\/li>\n<li>Utilidad de configuraci\u00f3n que habilita las v\u00edas de procesamiento DirectML para tarjetas gr\u00e1ficas Arc modernas.<\/li>\n<li>Gu\u00eda sin c\u00f3digo para lanzar tiny-random-OPTForCausalLM GRATIS<\/li>\n<li>Instalador que configura configuraciones de GPT privadas utilizando sistemas backend de hardware modernos.<\/li>\n<li>Configura tiny-random-OPTForCausalLM 100% PC privada GRATIS<\/li>\n<li>Descargador que incorpora asistentes de codificaci\u00f3n optimizados para el desarrollo sin conexi\u00f3n.<\/li>\n<li>tiny-random-OPTForCausalLM a trav\u00e9s de WebGPU (Navegador) con Native FP4 Local Guide GRATIS<\/li>\n<\/ul>","protected":false},"excerpt":{"rendered":"<p>To install this model locally in the shortest time, opt for a direct curl execution. Make sure to follow the instructions below. All large files and heavy weights are downloaded automatically by the script. The engine benchmarks your hardware to apply the most effective operational mode. \ud83d\udd0d Hash-sum: 3b632c04e4ab7ed421d28bc82fbf8400 | \ud83d\udd53 Last update: 2026-06-27 Verify [&hellip;]<\/p>","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[69],"tags":[],"class_list":["post-9111","post","type-post","status-publish","format-standard","hentry","category-checkpoints"],"_links":{"self":[{"href":"https:\/\/grupea.com.do\/es\/wp-json\/wp\/v2\/posts\/9111","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/grupea.com.do\/es\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/grupea.com.do\/es\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/grupea.com.do\/es\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/grupea.com.do\/es\/wp-json\/wp\/v2\/comments?post=9111"}],"version-history":[{"count":1,"href":"https:\/\/grupea.com.do\/es\/wp-json\/wp\/v2\/posts\/9111\/revisions"}],"predecessor-version":[{"id":9112,"href":"https:\/\/grupea.com.do\/es\/wp-json\/wp\/v2\/posts\/9111\/revisions\/9112"}],"wp:attachment":[{"href":"https:\/\/grupea.com.do\/es\/wp-json\/wp\/v2\/media?parent=9111"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/grupea.com.do\/es\/wp-json\/wp\/v2\/categories?post=9111"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/grupea.com.do\/es\/wp-json\/wp\/v2\/tags?post=9111"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}