OK, so for rentry:

> What parameter setting should I use with DeepSeek official API?
- R1: Parameter settings are locked: https://api-docs.deepseek.com/guides/reasoning_model
- V3: Only Temperature setting is used by the API. Values between 1.3 (chat) - 1.5 (creative writing) are recommended, 0.0 for coding and 1.0 for analysis: https://api-docs.deepseek.com/quick_start/parameter_settings

> What parameter setting should I use with DeepSeek distilled models?
- Follow guidance for the base model of the distill (Qwen, Llama)

> What are some recommended settings for the DeepSeek on other platforms?
Deepseek models served from other providers like OpenRouter may allow users to change parameter in ways not available from official API service. In these cases:
R1: Temperature 1.0, Repetition Penalty 1.3, Top P 0.95, Frequency Penalty 0.2-0.5
V3: Repetition Penalty 1.1, rest at default settings