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Baidu: ERNIE 4.5 300B A47B

baidu/ernie-4.5-300b-a47b

Model weights

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.

Modalities

Context

131K

Released

Jun 30, 2025

Knowledge Cutoff

Mar 2025

ActivityFAQ

Activity

Token volume and request traffic to this model over time.

About Baidu: ERNIE 4.5 300B A47B

OpenRouter makes Baidu: ERNIE 4.5 300B A47B available through a unified, OpenAI-compatible API using the model ID baidu/ernie-4.5-300b-a47b.

Baidu: ERNIE 4.5 300B A47B accepts text and returns text. It has a 131,072-token context window.

It was released on June 30, 2025; its knowledge cutoff is March 31, 2025.

More models from Baidu

  • ERNIE 4.5 VL 424B A47B

Frequently asked questions

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.

ERNIE 4.5 300B A47B has a 131,072 token context window.

ERNIE 4.5 VL 424B A47B is another text model from Baidu.

ERNIE 4.5 300B A47B was released on June 30, 2025. Its knowledge cutoff is March 31, 2025.