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README.md
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license: other
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# tle-orbit-explainer
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A LoRA adapter for **Qwen-1.5-7B** that
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into natural-language orbit explanations, decay risk scores, and anomaly flags
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for Space-Domain-Awareness (SDA) workflows.
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---
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### Model Description
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| **Developed by**
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| **Funded by**
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| **Shared by**
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| **Model type**
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| **Languages**
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| **License**
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| **Finetuned from** | [`Qwen/Qwen1.5-7B`](https://huggingface.co/Qwen/Qwen1.5-7B) |
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### Model Sources
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| **Repository**
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| **Paper / Blog** | ⬜️ (optional link)
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| **Demo**
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---
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### Direct Use
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*
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*
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* Offline dataset
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### Downstream Use
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*
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*
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* Pre-prompted agent in secure
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### Out-of-Scope Use
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---
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## Bias, Risks, & Limitations
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| Category
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| **Data bias**
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| **Temporal limits** |
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| **Language**
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| **
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### Recommendations
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### Reasoning:
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"""
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print(pipe(prompt, max_new_tokens=120)[0]["generated_text"])
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license: other
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---
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# tle-orbit-explainer
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A LoRA adapter for **Qwen-1.5-7B** that translates raw Two-Line Elements (TLEs) into natural-language orbit explanations, decay risk scores, and anomaly flags for general space awareness workflows.
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### Model Description
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| ------------------ | ----------------------------------------------------------- |
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| **Developed by** | Jack Al-Kahwati / Stardrive |
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| **Funded by** | ⬜️ (Self-funded) |
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| **Shared by** | jackal79 (Hugging Face) |
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| **Model type** | LoRA adapter (`peft==0.10.0`) |
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| **Languages** | English |
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| **License** | apache-2.0 |
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| **Finetuned from** | [`Qwen/Qwen1.5-7B`](https://huggingface.co/Qwen/Qwen1.5-7B) |
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### Model Sources
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| ---------------- | ---------------------------------------------------------------------------------------------------------- |
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| **Repository** | [https://huggingface.co/jackal79/tle-orbit-explainer](https://huggingface.co/jackal79/tle-orbit-explainer) |
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| **Paper / Blog** | ⬜️ (optional link) |
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| **Demo** | ⬜️ Gradio / Space (optional) |
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---
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### Direct Use
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* Quick summarization of satellite orbital states for analysts
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* Plain-language TLE explanations for educational purposes
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* Offline dataset labeling (orbital classifications)
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### Downstream Use
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* Combine with SGP4 for enhanced position forecasting
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* Integration into satellite autonomy stacks (cubesats, small-scale hardware)
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* Pre-prompted agent support in secure orbital management workflows
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### Out-of-Scope Use
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* High-precision orbit propagation without additional physics modeling
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* Applications related to targeting, weapons systems, or lethal autonomous decisions
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* Jurisdictions prohibiting ML or data export (verify with ITAR/EAR guidelines)
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---
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## Bias, Risks, & Limitations
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| Category | Note |
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| ------------------- | ------------------------------------------------------------------------------------------------------------- |
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| **Data bias** | Trained primarily on decayed objects (`DECAY = 1`), possibly underestimating longevity for active satellites. |
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| **Temporal limits** | Operates on snapshot data; does not handle continuous high-frequency time-series. |
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| **Language** | Supports explanations in English only. |
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| **Accuracy** | Potential inaccuracies in decay date predictions; verify independently. |
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### Recommendations
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Incorporate independent physics-based validation before operational use and maintain a human-in-the-loop for any critical or high-risk decisions.
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---
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### Reasoning:
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"""
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print(pipe(prompt, max_new_tokens=120)[0]["generated_text"])
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```
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