victorchen96/deepseek_v4_rolepaly_instruct resource
对于DeepSeek-V4角色扮演的特殊控制指令的说明 observed · 2026-08-28
Health v2 · maintenance only
52/100
- Activity 84
- Release rhythm 35
- Longevity 9
Flags: no_releases young no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 131
- days_rel: n/a
- days_push: 97
- n_releases_24m: 0
Adoption not part of the score
2303 stars · 117 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A documentation and prompt-engineering guide for controlling DeepSeek-V4's chain-of-thought style during roleplay, providing copy-paste control instructions for immersive in-character monologue versus pure analytical thinking modes. It includes usage instructions for the DeepSeek app/web expert mode and Python API code snippets for injecting the markers into message history.
Use cases
- make deepseek roleplay with in-character inner monologue in its thinking
- force the model's reasoning to be pure analysis instead of roleplay
- control chain-of-thought style in deepseek v4 api
- set thinking mode once and have it persist across a roleplay chat
- python example for injecting roleplay control instructions into messages
- switch between immersive and analytical thinking modes in deepseek app
When to choose
- you roleplay with DeepSeek-V4 and want to control whether the thinking trace contains in-character inner monologue
- you build roleplay bots on the deepseek-v4 API and need stable thinking-style control
- you want copy-paste prompt markers with API integration examples
When to avoid
- you use a different model than DeepSeek-V4 or its flash/pro API variants
- you need guaranteed 100% deterministic thinking-style output, since the effect is probabilistic
- you need a software library or tool rather than prompt documentation
Facets
learning-resource · maturity active
prompt-engineering chatbot llm-inference large-language-models chatbots tutorials artificial-intelligence python cross-platform roleplay deepseek chain-of-thought prompt-guide thinking-mode web-server
1 source
- readme: https://github.com/victorchen96/deepseek_v4_rolepaly_instruct · fetched 2026-08-28 · b93d51cfeb99
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| victorchen96/deepseek_v4_rolepaly_instruct | main | 52 |
For agents
markdown · JSON · MCP: product_card(name="victorchen96/deepseek_v4_rolepaly_instruct")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem