Unverified50% confidenceBenchmarkExact time
Largha-150M-v1 reads 0.5455 (126/231) on JevBench public-231, below its 58.4% acceptance threshold, and does not pass.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/13/2026
First Seen
Valid until: 1/11/2027
Sources
Related Entities
Related Claims
UnverifiedUnder a confidence gate of τ=0.6, Largha-150M-v1 escalated 45.0% of official-set decisions, reducing LLM calls by 55.0%, raising the retained-subset accuracy from 0.906 to 0.9936, with an overall routing accuracy of 0.8135.64% similarUnverifiedLaya achieves only 0.45 accuracy on the MASSIVE dataset covering 13 languages and only 0.425 on Banking77, while JAF reports 0.87 on the same tasks.57% similarUnverifiedJev cannot generate text, has a maximum of approximately 255 parallel decisions, and a state limit of approximately 32,000 tokens.56% similarUnverifiedUnder conditions where the target language is explicitly specified in the prompt (L3 prompts), GLM-5.1 achieved a generation accuracy of 72.29%, while Llama-3.3 70B reached only 24.24%.54% similarUnverifiedIn the evict_read control experiment, the speed was 3405 tok/s when the weights resided in L3, and dropped to 1681 tok/s when L3 was polluted by random reads, a penalty factor of 2.03x.54% similar
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