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Русский(RU) Тест Qwen3.5 9b, Gemma 4 12b и Bonsai 27b на легенде пенсионного возраста GTX 1080 ti Все началось вообще не с идеи написать очередной бенчмарк. Мне нужно было

AI Models Qwen3.5, Gemma 4, and Bonsai Tested on Older GPU

A user tested three AI models—Qwen3.5 9b, Gemma 4 12b, and Bonsai 27b—on a GTX 1080 Ti GPU to assess their performance for local processing of long podcasts. The goal was to create a pipeline for generating transcripts, identifying key segments, and producing short video clips without relying on cloud services. The user conducted tests focusing on long context capabilities and reasoning tasks, comparing performance with and without deliberation, and found the results to be unexpected. AI

IMPACT Evaluates the practical performance of smaller, locally runnable AI models on older hardware, informing users about potential for on-device AI tasks.

RANK_REASON User benchmark of multiple models on consumer hardware. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Mastodon — fosstodon.org →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI Models Qwen3.5, Gemma 4, and Bonsai Tested on Older GPU

COVERAGE [1]

  1. Mastodon — fosstodon.org TIER_1 Русский(RU) · [email protected] ·

    Testing Qwen3.5 9b, Gemma 4 12b, and Bonsai 27b on a legendary retirement-age GTX 1080 ti. It all started not with the idea of writing another benchmark. I needed to

    Тест Qwen3.5 9b, Gemma 4 12b и Bonsai 27b на легенде пенсионного возраста GTX 1080 ti Все началось вообще не с идеи написать очередной бенчмарк. Мне нужно было собрать локальный пайплайн для длинных подкастов: получить транскрипт, найти в нем интересные куски, выбрать несколько с…