Unverified50% confidenceBenchmarkExact time
CondenseVLA achieves a 21.6% success rate on the memory-dependent RMBench benchmark.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/20/2026
First Seen
Valid until: 1/18/2027
Sources
Related Entities
Related Claims
UnverifiedOn the MemoryArena goal persistence evaluation, the Working Memory layer scores 55.31%, 8.4 percentage points higher than a pure summarization compression pipeline.68% similarUnverifiedEngram dedicates one quarter of the entire checkpoint's capacity to n-gram memory, reaching a scale of 197B parameters.59% similarUnverifiedThe Q8 main model occupies 162 GB, preventing the drafter from fitting into unified memory, rendering DSpark acceleration ineffective; after moving three layers of MoE experts back to the CPU, output only improved from 22.87 to 23.49 tokens/second (2.7% faster), while prefill dropped from 95.38 to 76.65.59% similarUnverifiedTensorRT的层融合优化中，以Conv-BN-ReLU组合为例，融合后内存访问量可减少60%以上58% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1073795API
curl https://kongchang.com/api/v1/knowledge/claims/1073795MCP
get_claim(id=1073795)