Wave Field LLM Achieves Impressive Scale with 1 Billion Parameters
research#llm📝 Blog|Analyzed: Feb 23, 2026 05:32•
Published: Feb 23, 2026 05:22
•1 min read
•r/deeplearningAnalysis
The Wave Field 大規模言語モデル (LLM) has successfully scaled to a near-billion parameter size, demonstrating stability and efficient training. This achievement validates the innovative field-based interaction mechanism, showing its potential for real-world applications and large-scale token processing.
Key Takeaways
- •Wave Field LLM (v4) was fully pretrained with 825 million parameters.
- •The model handled a substantial 1.33 billion tokens during training.
- •Training completed in a relatively short 13.2 hours.
Reference / Citation
View Original"This validates that Wave Field’s field-based interaction mechanism is not just an experimental curiosity — it holds up under real model size and real token volume."