Nous Research: hermes-4-405b:free
Hermes 4 is a large-scale reasoning model built on Meta-Llama-3.1-405B and released by Nous Research. It introduces a hybrid reasoning mode, where the model can choose to deliberate internally with ... traces or respond directly, offering flexibility between speed and depth. Users can control the reasoning behaviour with the reasoning enabled boolean. Learn more in our docs The model is instruction-tuned with an expanded post-training corpus (~60B tokens) emphasizing reasoning traces, improving performance in math, code, STEM, and logical reasoning, while retaining broad assistant utility. It also supports structured outputs, including JSON mode, schema adherence, function calling, and tool use. Hermes 4 is trained for steerability, lower refusal rates, and alignment toward neutral, user-directed behavior.
价格
性能
使用量与排名
支持的参数
所有提供方:为该模型提供服务的每个上游都支持。部分提供方:取决于处理请求的上游。默认值:未设置时发送的值。
| 参数 | 提供方 | 默认值 |
|---|---|---|
| frequency_penalty | 所有提供方 | - |
| include_reasoning | 所有提供方 | - |
| max_tokens | 所有提供方 | - |
| presence_penalty | 所有提供方 | - |
| reasoning | 所有提供方 | - |
| repetition_penalty | 所有提供方 | - |
| response_format | 所有提供方 | - |
| temperature | 所有提供方 | - |
| top_k | 所有提供方 | - |
| top_p | 所有提供方 | - |