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Tried testing qwen 35b moe model on s26 ultra , without compromising on precision [R] ,[D]
Started testing a private qwen 35B moe capacity LLM runtime on s26 ultra, early testing shows that active model footprint can fit within the device’s memory limits.( not sharing the methods or architecture used) and results suggest roughly 90 input processing t/s achievable after optimisation and output generation is around 8 tokens/s on this mobile. Point is i learned ai ml based on my interest and no formal PhD , I have compute and resources to test. Anyone willing to join or collab to test on this I tried publishing papers on arxiv and 4 papers are still on hold as im first author and from no institution... submitted by /u/Severe_Post_2751 [link] [Kommentare] reddit.com · reddit.com ↗
Started testing a private qwen 35B moe capacity LLM runtime on s26 ultra, early testing shows that active model footprint can fit within the device’s memory limits.( not sharing the methods or architecture used) and results suggest roughly 90 input processing t/s achievable after optimisation and output generation is around 8 tokens/s on this mobile. Point is i learned ai ml based on my interest and no formal PhD , I have compute and resources to test. Anyone willing to join or collab to test on this I tried publishing papers on arxiv and 4 papers are still on hold as im first author and from no institution... submitted by /u/Severe_Post_2751 [link] [Kommentare]
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