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license: apache-2.0 |
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base_model: Qwen/Qwen3-4b-thinking-2507 |
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tags: |
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- reasoning |
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- code |
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- inference |
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- chat |
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- multimodal (if applicable) |
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library_name: transformers |
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datasets: |
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- nvidia/AceReason-1.1-SFT |
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--- |
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# Astral-4B-Preview |
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Astral-4B is a specialized reasoning-focused language model developed as part of the Astral series, designed to deliver high-fidelity, step-by-step reasoning with configurable depth. Built upon the Qwen3-4b-thinking-2507 foundation, this variant has been fine-tuned on the `nvidia/AceReason-1.1-SFT` dataset to enhance logical coherence, problem-solving capability, and structured thinking. |
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This model is currently in **preview** and intended for research, evaluation, and development use. Feedback is encouraged to guide future iterations. |
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## Usage Instructions |
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To invoke the model correctly, include a **reasoning-level indicator** in the system prompt using the `Reasoning-level:` directive. The available levels are: |
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| Level | Behavior | |
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|----------|--------| |
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| `none` | No reasoning trace generated, direct response only. | |
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| `low` | Minimal internal reasoning | |
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| `medium` | Creates a reasoning trace thats not too long nor too short | |
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| `high` | Second highest reasoning depth | |
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| `ultra` | Maximum depth reasoning | |
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> **Note**: The absence of a valid reasoning level will result in undefined behavior. Always specify one. |
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### Example Prompt (ChatML Format): |
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```xml |
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<|im_start|>system |
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Reasoning-level: high |
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<|im_end|> |
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<|im_start|>user |
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What is the capital of France? |
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<|im_end|> |
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<|im_start|>assistant |
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<think> |
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``` |
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--- |
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## Important Notes |
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- This is a **preview release**. Performance may vary across edge cases or non-standard inputs. |
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- For production applications, please wait for the official release. |
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