Unverified50% confidenceFactExact time
Compared with Qwen3-30B-A3B, Hy-Memory-30B-A3B improves by an average of 11 points, and still scores 56.89 on the EverMemOS framework, which it never saw in training.
1
Sources
50%
Confidence
Short-term (~14 days)
Relevance
10/17/2026
First Seen
Valid until: 10/31/2026
Sources
Related Entities
Related Claims
UnverifiedUsing QLoRA on A100 and RTX PRO 6000, training speed for Qwen3.5-35B-A3B can be improved by up to 4.1×, and for Qwen3-30B-A3B by up to 3.3×.73% similarUnverifiedTencent's published comparison table shows Hy-Memory-30B-A3B scoring an average of 55.49 across six benchmarks, slightly above Claude Opus 5's 54.62, a gap of 0.87 points; but looking at individual items, 0.02 points under the Hy-Memory framework and 0.01 points under MemOS are essentially noise level.73% similarUnverifiedWhen run on Qwen3.6-35B-A3B with a 50% expert pruning ratio, SlimWise increases decoding throughput by up to 1.81x with minimal accuracy loss.72% similarUnverifiedOn "continuation of previous operation" type utterances, Qwen3.6-35B-A3B achieved an accuracy of 86.3%, while the 4B and 8B models achieved only 70.4%.71% similarUnverifiedIn Instruct mode, MiniCPM-V 4.7 35B-A3B achieved a higher overall score with less inference time than Qwen3.6 35B-A3B.71% similar
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