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.
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支援的參數
所有提供方:為該模型提供服務的每個上游都支援。部分提供方:取決於處理請求的上游。預設值:未設定時傳送的值。
| 參數 | 提供方 | 預設值 |
|---|---|---|
| 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 | - |