Samsung's REAM: A New Way to Shrink LLMs?
research#llm📝 Blog|Analyzed: Feb 12, 2026 15:32•
Published: Feb 12, 2026 07:00
•1 min read
•r/LocalLLaMAAnalysis
Samsung is exploring REAM, a potentially less damaging method for shrinking Generative AI Large Language Models. This could lead to more efficient and accessible models. The focus on Qwen3 models suggests promising advancements in LLM technology.
Key Takeaways
- •Samsung is pioneering REAM, a new method for model shrinking.
- •This approach aims to be less damaging than existing methods.
- •Focus is on optimizing Qwen3 models for efficiency.
Reference / Citation
View Original"Samsung recently have pushed an alternative way to shrink a model instead of the usual REAP done by Cerebras with Kimi-Linear / DeepSeek v3.2 / GLM 4.X / MiniMax M2* / Qwen3* ... But Samsung might be cooking something else that are less damaging with REAM."