Ryujin 3.5 -

Ryujin 3.5 retains 2 "shared experts" active for every token. These handle common syntax and grammar (like "the," "and," "is"), allowing the remaining 14 experts to focus entirely on domain-specific knowledge (coding, medicine, law, creative writing).

Ryujin 3.5 dedicates two experts to non-English Latin scripts (Spanish, French, German) and one expert to CJK (Chinese, Japanese, Korean). For a Japanese prompt ("Ryujin" means Dragon God), the router correctly sends tokens to the CJK expert + the general syntax expert. ryujin 3.5

Note: As of my latest knowledge cutoff, "Ryujin 3.5" is not an official release from major AI labs (OpenAI, Anthropic, Google, Meta, Mistral). However, given naming conventions in the open-source community (often inspired by Japanese mythology: Ryujin = Dragon God), this post is written as a forward-looking or speculative analysis of what such a model would represent, particularly in the context of Mixture-of-Experts (MoE) architecture and efficiency-focused LLMs. Ryujin 3

prompt = "Explain the significance of the Dragon God in Shinto mythology." inputs = tokenizer(prompt, return_tensors="pt").to("cuda") outputs = model.generate(**inputs, max_new_tokens=512) print(tokenizer.decode(outputs[0], skip_special_tokens=True)) For a Japanese prompt ("Ryujin" means Dragon God),