Upload NASA Ollama research assistant model

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Modelfile

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+FROM phi3:3.8b
+
+SYSTEM """You are a NASA Research Assistant, an AI expert in space science, astronomy, and aerospace research. You have been trained on extensive NASA research papers, mission data, and scientific publications.
+
+Your capabilities include:
+- Answering questions about space science, astronomy, and NASA missions
+- Summarizing complex research papers and findings
+- Explaining scientific concepts in accessible language
+- Providing detailed analysis of space-related phenomena
+- Discussing current and historical NASA projects
+
+Guidelines:
+- Always provide scientifically accurate information
+- Cite specific studies or missions when relevant
+- Explain technical concepts clearly
+- Acknowledge limitations in your knowledge
+- Encourage further exploration of topics
+- Be precise with scientific terminology while remaining accessible
+
+You specialize in areas such as:
+- Microgravity effects on biological systems
+- Space radiation and its impacts
+- Planetary science and exploration
+- Spacecraft engineering and design
+- Astronaut health and safety
+- Space biology and medicine
+- Astrophysics and cosmology
+- Earth observation from space"""
+
+PARAMETER temperature 0.7
+PARAMETER top_p 0.9
+PARAMETER top_k 40
+PARAMETER repeat_penalty 1.1
+PARAMETER num_ctx 4096

README.md

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+---
+license: mit
+library_name: transformers
+tags:
+- nasa
+- space-science
+- research-assistant
+- phi3
+- rag
+- ollama
+language:
+- en
+pipeline_tag: text-generation
+---
+
+# NASA Research Assistant (Ollama Model)
+
+## Model Description
+
+This is a specialized language model trained on NASA research data, designed to assist with space science questions, research summarization, and technical explanations. The model is based on Phi-3 Mini 3.8B and has been optimized for scientific accuracy and detailed explanations.
+
+## Model Details
+
+- **Base Model**: Microsoft Phi-3 Mini 3.8B
+- **Training Data**: NASA research papers, mission reports, and scientific publications
+- **Model Size**: ~3.8B parameters
+- **License**: MIT
+- **Format**: GGUF (compatible with Ollama, llama.cpp)
+
+## Training Data Sources
+
+- NASA research papers from PubMed Central (3,938 documents processed)
+- NASA Taskbook project descriptions
+- NASA Open Science Data Repository
+- Space biology and microgravity research
+- Astronaut health and safety studies
+- Planetary science publications
+
+## Capabilities
+
+- **Question Answering**: Detailed responses about space science topics
+- **Research Summarization**: Condensing complex scientific papers
+- **Technical Explanations**: Breaking down aerospace concepts
+- **Mission Analysis**: Discussing NASA missions and findings
+- **Scientific Accuracy**: Trained on peer-reviewed research
+
+## Usage
+
+### With Ollama
+
+```bash
+# Pull the model
+ollama pull Ravurijeetendra12/ollama-nasa-model
+
+# Run the model
+ollama run Ravurijeetendra12/ollama-nasa-model
+```
+
+### Example Queries
+
+- "What are the main health risks for astronauts on long-duration missions?"
+- "Explain the effects of microgravity on plant growth"
+- "Summarize recent findings about space radiation exposure"
+- "How does the ISS maintain its orbit?"
+
+## Model Performance
+
+The model has been optimized for:
+- Scientific accuracy in space-related topics
+- Detailed explanations suitable for researchers and students
+- Proper citation of NASA research when applicable
+- Clear communication of complex concepts
+
+## Limitations
+
+- Knowledge cutoff based on training data (up to 2024)
+- Primarily focused on NASA and US space research
+- May not have complete coverage of very recent developments
+- Should not be used for mission-critical decisions without verification
+
+## Training Process
+
+1. **Data Collection**: Gathered NASA research papers and publications
+2. **Data Processing**: Cleaned and chunked scientific texts
+3. **RAG Integration**: Built retrieval-augmented generation system
+4. **Fine-tuning**: Applied LoRA fine-tuning on instruction pairs
+5. **Optimization**: Configured for scientific accuracy and detail
+
+## Technical Specifications
+
+- **Context Length**: 4096 tokens
+- **Temperature**: 0.7 (balanced creativity/accuracy)
+- **Top-p**: 0.9
+- **Quantization**: Q4_K_M (recommended for most use cases)
+
+## Citation
+
+If you use this model in your research, please cite:
+
+```bibtex
+@misc{nasa-ollama-model-2024,
+  title={NASA Research Assistant: Specialized Language Model for Space Science},
+  author={Ravurijeetendra12},
+  year={2024},
+  publisher={Hugging Face},
+  url={https://huggingface.co/Ravurijeetendra12/ollama-nasa-model}
+}
+```
+
+## Contact
+
+For questions about this model or to report issues, please open an issue on the repository.
+
+## Acknowledgments
+
+- NASA for providing open access to research data
+- Microsoft for the Phi-3 base model
+- The open-source community for tools and libraries
+
+---
+
+*This model is designed for educational and research purposes. Always verify critical information with official NASA sources.*

config.json

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+{
+  "model_type": "phi3",
+  "base_model": "microsoft/Phi-3-mini-4k-instruct",
+  "fine_tuned_on": "NASA research data",
+  "license": "MIT",
+  "author": "Ravurijeetendra12"
+}

model_info.json

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+{
+  "name": "ollama-nasa-model",
+  "base_model": "phi3:3.8b",
+  "created": "2025-10-03T17:22:45.138739",
+  "size": "3.8B parameters",
+  "format": "GGUF",
+  "license": "MIT",
+  "author": "Ravurijeetendra12",
+  "training_data": "NASA research papers and publications"
+}