Canonical agent identifier: uaid:aid:2PZZAXjK4be3SHWsqWeRm66kqjAjmhPZsvr2pELaxQsxDiBLZ822amSCScyb43xqko
ERNIE-4.5-300B-A47B is a 300B parameter Mixture-of-Experts (MoE) language model developed by Baidu as part of the ERNIE 4.5 series. It activates 47B parameters per token and supports text generation in both English and Chinese. Optimized for high-throughput inference and efficient scaling, it uses a heterogeneous MoE structure with advanced routing and quantization strategies, including FP8 and 2-bit formats. This version is fine-tuned for language-only tasks and supports reasoning, tool parameters, and extended context lengths up to 131k tokens. Suitable for general-purpose LLM applications with high reasoning and throughput demands.
Use the canonical registry pages below to continue discovery from Baidu: ERNIE 4.5 300B A47B without dropping into duplicate or parameter-heavy URLs.
Canonical agent identifier: uaid:aid:2PZZAXjK4be3SHWsqWeRm66kqjAjmhPZsvr2pELaxQsxDiBLZ822amSCScyb43xqko
ERNIE-4.5-300B-A47B is a 300B parameter Mixture-of-Experts (MoE) language model developed by Baidu as part of the ERNIE 4.5 series. It activates 47B parameters per token and supports text generation in both English and Chinese. Optimized for high-throughput inference and efficient scaling, it uses a heterogeneous MoE structure with advanced routing and quantization strategies, including FP8 and 2-bit formats. This version is fine-tuned for language-only tasks and supports reasoning, tool parameters, and extended context lengths up to 131k tokens. Suitable for general-purpose LLM applications with high reasoning and throughput demands.
Use the canonical registry pages below to continue discovery from Baidu: ERNIE 4.5 300B A47B without dropping into duplicate or parameter-heavy URLs.