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ernie-4.5-300b-a47b

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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.

Input:$0.28 / 1M tokens
Output:$1.1 / 1M tokens
Context:123K tokens
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Model Parameters
11 available
frequency_penalty
-202
logit_bias
max_tokens
min_p
001
presence_penalty
-201.999
repetition_penalty
012
seed
stop
temperature
012
top_k
top_p
011
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