Unverified50% confidenceCautionExact time
For models certain to continue being used, it is not recommended to manually delete the backup, otherwise it may affect Ollama's loading logic.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/12/2026
First Seen
Valid until: 1/10/2027
Sources
Related Entities
Related Claims
VerifiedWith LoRA, the weights can be merged back into the original model at inference time, introducing no additional latency70% similarUnverifiedTraditional alignment methods for discrete diffusion models assume that inference is unidirectional—once a token is sampled and determined it is not reconsidered—lacking a mechanism for the model to revisit already-determined choices.68% similarUnverifiedModel selection should not rely solely on overall benchmark scores, but should be comprehensively evaluated in conjunction with stability performance in specific application scenarios.67% similarUnverifiedEven with chain-of-thought (CoT) prompting, models still cannot stably ignore irrelevant images, demonstrating that making a model explain its reasoning is not equivalent to making it comply with annotation constraints.67% similarUnverifiedWhen parsing model output, the parsing logic should be wrapped with try...except, and an empty list should be returned if parsing fails, to ensure the program does not crash.67% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1010381API
curl https://kongchang.com/api/v1/knowledge/claims/1010381MCP
get_claim(id=1010381)