Today we release Artax v4, a 13B-parameter model supporting 7 languages across 12 expert domains. With triplet fine-tuning and a 32k context window, it delivers v3-level latency but near-v2 resource efficiency. Early benchmarks show it outperforms Mistral-7B on Arabic and Chinese reasoning tasks by over 18%.
Once the drive is installed, you simply boot up the TTX3. The system will load directly into the ARTAX multi-game launcher.
It’s possible you’ve encountered:
Before diving into benchmarks, let's break down the name. Unlike corporate models (GPT-4, Claude 3, Gemini Ultra), community models use suffixes to communicate lineage and capability.
Corporations use Artax-ttx3-mega-multi-v4 to simulate focus groups. The "Multi" component allows the model to roleplay 5 distinct consumer personas simultaneously in one chat thread, each with its own memory and preference drift over time. Artax-ttx3-mega-multi-v4
Unlike its predecessors, the V4 focuses heavily on optimizing the energy-to-performance ratio, ensuring that it can handle the "mega" workload without the massive energy costs traditionally associated with high-performance computing (HPC) environments. Key Features and Technical Advancements
: Contains over 580 titles , including modern high-definition fighting games, retro Neo Geo classics, and emulated systems like Naomi, Atomiswave, and Cave. Today we release Artax v4, a 13B-parameter model
is mandatory due to the large file size and the performance requirements of modern arcade titles. : It is primarily built for 1080p screens
The potential applications of the Artax-TTX3-Mega-Multi-V4 are vast and varied. Here are a few areas where it could make a significant impact: Once the drive is installed, you simply boot up the TTX3