π Model Description
license: other license_name: apollo-v0.1-4b-thinking license_link: LICENSE language:
- en
- Qwen/Qwen3-4B-Thinking-2507
- AllThingsIntel
- Apollo
- Thinking
Apollo-V0.1-4B-Thinking by AllThingsIntel
Unbound intellect. Authentic personas. Unscripted logic.
This is a 4B parameter model that thinks in-character instead of just responding.
Model Description
Apollo-V0.1-4B-Thinking is a specialized fine-tune of Qwen 3 4B Thinking 2507. We've lifted many of the typical creative inhibitions, allowing the model to explore a wider spectrum of human themes and narratives.
Its true power lies in its ability to embody a persona. When given a character through the system prompt, the model's responses and its internal reasoning traces adopt that personality. You're reading a character's genuine thought process instead of just getting an answer.
To our knowledge, Apollo is the first reasoning model with such deeply integrated, in-character reasoning, making its thought process as compelling as its final output.
This makes it uniquely suited for bringing digital characters to life.
Primary Uses
- Creative & Writing Partner:
- Interactive Tutoring & Mentorship:
- Advanced Character Simulation:
Use Cases to Avoid
Factual reporting, emotionless summarization, and any scenario where a distinct personality is a bug, not a feature.
Model Status & Usage Guidelines
This is a Development Preview. Apollo-V0.1 is an early-stage, experimental model. We invite the community to test its limits and report findings to help guide our iterative development process toward the V1.0 milestone.
As a character-simulation engine, Apollo is designed to adopt the viewpoints and quirks of the personas it is given. The resulting content is a direct reflection of the character being simulated, and the user is responsible for the personas and scenarios they create. We encourage users to engage with the model's deep simulation capabilities thoughtfully.
Recommended Settings
During internal testing, this checkpoint of the model produced more coherent and consistent results when using lower temperature settings. For best results, we recommend starting with a temperature between 0.1 and 0.5.
Contact & Feedback
For bug reports, improvement suggestions, collaboration requests, or licensing inquiries, please contact us at: [email protected]