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--- |
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base_model: unsloth/gpt-oss-20b-unsloth-bnb-4bit |
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tags: |
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- text-generation-inference |
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- transformers |
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- gpt_oss |
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- trl |
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- nasa |
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- standards |
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license: apache-2.0 |
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language: |
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- en |
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--- |
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# NASA OSS Model Card |
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## Highlights |
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- Fine-tune of **OpenAI GPT-OSS** (20B) using [Unsloth](https://github.com/unslothai/unsloth) for optimized training. |
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- Trained on **synthetic Q&A data** derived from all available NASA standards and handbooks (excluding center-level standards). |
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- Data generated via **chunking into 4096 tokens with 256 overlap**, question + answer pairs produced per chunk. |
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- Provides **compliance-oriented, clause-referenced outputs** for NASA engineering standards. |
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- Extends prior work ([NASA Systems Engineering Llama-3.1 8B](https://huggingface.co/MarshallDoyle/NASA-Systems-Engineering)) to **dozens of NASA standards**, not just one handbook. |
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- **Best used with retrieval-augmented generation (RAG)**: include the relevant standard text in the prompt for highest accuracy. |
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**Recommended Inference Settings:** |
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- `temperature = 1` |
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- `top_k = 0` |
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- `top_p = 1` |
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**Official OpenAI GPT-OSS page:** [https://openai.com/oss](https://openai.com/oss) |
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--- |
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## Model Summary |
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The **NASA OSS model** is designed to assist with **interpretation, reasoning, and compliance guidance across NASA standards and handbooks**. |
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It is particularly effective for: |
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- Engineering decision support |
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- Standards compliance verification |
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- Requirements and process traceability |
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- Education and training of new engineers |
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--- |
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## Training Data |
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- **Sources:** All publicly available NASA standards and handbooks (excluding center-level standards). |
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- **Processing pipeline:** |
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- Documents chunked into 4096 tokens with 256-token overlap. |
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- Each chunk used to generate multiple **synthetic questions** relevant only to that section. |
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- **Answers generated** strictly from the chunk (but phrased naturally without explicit chunk references). |
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--- |
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## Recommended Usage |
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- **Use with RAG:** Retrieval of the intended NASA standard or handbook section and injection into the prompt significantly improves performance. |
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- **Verification:** Always cross-check outputs against the official NASA source documents before applying in mission-critical work. |
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--- |
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## Comparison Examples |
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### Example 1 – Required Components for Material Process Qualification (NASA-STD-6030) |
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**Llama-3.1 8B Fine-tune (Systems Eng only):** |
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"Nasa standards generally require process control and material specifications before flight qualification." |
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**GPT-OSS Base:** |
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"Material specifications and process definitions must be established for qualification." |
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**NASA OSS:** |
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NASA-STD-6030 – Materials Process Qualification |
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The standard requires that a candidate material process be fully characterized before it can be qualified for use in additive manufacturing hardware. Three distinct components must be defined and documented: |
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1. Feedstock Material Specification – properties of the raw AM material. |
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2. Part Material Specification (or equivalent) – final part-material characteristics after processing. |
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3. Material Processing Specification (MPS) – process parameters and QA procedures. |
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These items are listed in NASA-STD-6030 §2 f (g–i) and clarified in §8 as required for a Qualified Part Process. |
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--- |
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### Example 2 – PCRDs (Primary Control-Relevant Data) for Metallic AM Processes |
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**Llama-3.1 8B Fine-tune:** |
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"Typical values include tensile strength and elongation." |
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**GPT-OSS Base:** |
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"PCRDs are mechanical properties but fracture toughness is sometimes excluded." |
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**NASA OSS:** |
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Question: Which of the following is NOT one of the four PCRDs defined for each metallic AM MPS: ultimate tensile strength, yield strength, elongation, or fracture toughness? |
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Answer: Fracture toughness is NOT one of the PCRDs. |
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NASA-STD-6030 explicitly defines: ultimate tensile strength, yield strength, elongation, and reduction of area. |
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Reference: NASA-STD-6030 §4.3.2 |
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--- |
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### Example 3 – Powder Certification and Reuse Rules for Ti-6Al-4V (LPBF) |
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**Llama-3.1 8B Fine-tune:** |
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"Powder must be certified before use in additive manufacturing." |
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**GPT-OSS Base:** |
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"Certification and reuse requirements depend on program standards." |
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**NASA OSS:** |
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NASA-STD-6030 requires: |
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- Feedstock certification for composition, cleanliness, and particle morphology (§5.1). |
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- Documentation of lot traceability and maximum reuse cycles (§5.2). |
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- Validation via witness coupon testing before production (§7.3). |
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These steps ensure powder consistency and qualification evidence for flight hardware. |
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--- |
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### Example 4 – Wire-Feed Directed Energy Deposition (DED) Qualification |
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**NASA OSS:** |
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For wire-feed DED processes, NASA-STD-6030 mandates documentation of: |
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- Material Specification – composition, purity, heat-treatment requirements (§7.2). |
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- Processing Parameters – machine-specific build settings and post-processing (§7.3). |
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- Testing & Inspection Methods – destructive and nondestructive evaluations with acceptance criteria (§7.3). |
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These form the Candidate Material Process (CMP) and serve as the foundation for establishing a Qualified Part Process (QPP). |
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--- |
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### Example 5 – Dimensional Inspection for AM Structural Truss |
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**NASA OSS:** |
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NASA-STD-6030 requires GD&T compliance verification and interface checks through the Additive Manufacturing Control Plan (AMCP). |
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- MPS, QMP, and AMCP integration define dimensional verification (§4.1–4.3). |
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- Witness coupon testing and statistical sampling ensure dimensional repeatability (§7.2–7.3). |
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Reference: NASA-STD-6030, §4.2; §7.2–7.3 |
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--- |
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## Limitations |
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- Model outputs reflect **public NASA standards only**. |
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- May not cover internal center-level or proprietary standards. |
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- **Best used with retrieval context** – performance drops without standard text injection. |
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--- |
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## Ethical Considerations |
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- Should be treated as an **assistive tool**, not as a replacement for human engineering judgment. |
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- Outputs must be verified against authoritative NASA documentation. |
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- Not suitable for export-controlled, ITAR-restricted, or classified projects. |
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--- |
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## Citation |
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If you use this model, please cite as: |
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@misc{marshall2025nasaoss, |
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author = {Marshall Doyle}, |
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title = {NASA OSS: Domain-Specific Fine-Tune of GPT OSS on NASA Standards}, |
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year = {2025}, |
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publisher = {Hugging Face}, |
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howpublished = {\url{https://huggingface.co/MarshallDoyle/NASA-OSS}} |
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} |
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--- |
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