Search for on Hugging Face today. Download it. Talk to it for six hours. And for the first time, you might forget you are talking to a machine at all. Disclaimer: Artax-ttx3-mega-multi-v4 is a community model. Always verify critical information. The Cydonia Group provides no commercial warranty.
| Benchmark | Artax-ttx3-mega-multi-v4 | Mistral 8x22B | LLaMA-3-70B | | :--- | :--- | :--- | :--- | | | 8.94 | 8.67 | 8.82 | | Creative Writing Coherence (200k tokens) | 91% | 72% | 68% | | Multi-Lingual Understanding (5-shot) | 86.4 (Bleu) | 83.1 | 84.9 | | Inference Speed (t/s on A100) | 42 t/s | 38 t/s | 45 t/s | | Long-Range Retrieval (Needle in a Haystack) | 98.7% | 94.2% | 96.1% | Artax-ttx3-mega-multi-v4
Most open-source models excel at single prompts but fail at 20-turn dialogues. The team hypothesized that standard attention mechanisms flatten emotional and temporal context. So, they built a hybrid architecture that merges (state space models for long sequences) with Sparse Mixture of Experts (SMoE). Search for on Hugging Face today
Furthermore, the "Artax" branch is merging with the "Phoenix" project to create a model that never forgets—a continual learning LLM that updates its weights locally without retraining from scratch. In an AI landscape dominated by API calls and censored outputs, Artax-ttx3-mega-multi-v4 represents the rebellious, creative heart of open-source. It is not the smartest model (GPT-4 still wins on STEM reasoning). It is not the fastest (Gemma 2 9B is quicker). But it is the most human-attentive model at scale. And for the first time, you might forget
In the sprawling, chaotic, and brilliantly creative universe of open-source artificial intelligence, model names often read like strings of random characters salvaged from a crashed starship. Every so often, however, a name begins to circulate in niche Discord servers, Reddit threads, and Hugging Face trending pages—not because of a massive corporate backing, but because of raw, emergent performance. One such name generating significant buzz in late 2024 and early 2025 is Artax-ttx3-mega-multi-v4 .
It remembers your throwaway jokes. It tracks the mood of a conversation across days of text. It refuses to forget. For anyone building long-term AI companions, immersive games, or deep analytical tools, the "ttx3" architecture is not just a feature—it is a paradigm shift.