Unverified50% confidenceFactExact time
Community testing (34 English + 34 Russian conversations) shows that all quantized versions of Hy-Memory-30B-A3B can output valid JSON (68/68), but only 23/34 fully succeed.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/17/2026
First Seen
Valid until: 1/15/2027
Sources
Related Entities
Related Claims
UnverifiedTencent open-sourced the Hy-Memory-30B-A3B model, a 30B-parameter mixture-of-experts (MoE) model that activates about 3B parameters per token.72% similarUnverifiedUsing a 4B model to rerank the candidate shortlist filtered by BM25 outperformed BM25 alone (+0.047, confidence interval [0.020, 0.073]), even though the 4B reranker itself did not pass qualification.65% 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.63% similarUnverifiedIn the same test, the bf16 baseline exceeded the self-developed W4 kernel (25.5 tok/s) and bitsandbytes NF4 (25.7 tok/s) at 31.3 tok/s, reaching 29.8% of the theoretical roofline.63% similarUnverifiedCompared 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.62% similar
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