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| title: GeoLLM - Mineral Exploration Geology | |
| emoji: ⛏️ | |
| colorFrom: yellow | |
| colorTo: green | |
| sdk: gradio | |
| sdk_version: 5.12.0 | |
| app_file: app.py | |
| pinned: false | |
| license: apache-2.0 | |
| models: | |
| - AshkanTaghipour/GeoLLM-Qwen3.5-0.8B | |
| datasets: | |
| - AshkanTaghipour/mineral-exploration-geology-qa | |
| # GeoLLM — Mineral Exploration Geology Assistant | |
| An interactive demo of **GeoLLM-Qwen3.5-0.8B**, a domain-adapted LLM for mineral exploration geology. | |
| Ask questions about deposit models, geochemistry, geophysics, drilling strategies, and Western Australian geology — the model answers like a knowledgeable colleague, concise and technically grounded. | |
| ## Model Details | |
| - **Base model:** [Qwen3.5-0.8B](https://huggingface.co/Qwen/Qwen3.5-0.8B) | |
| - **Fine-tuning:** bf16 LoRA (r=16) on 479 expert QA pairs from Western Australian exploration reports | |
| - **Format:** float32 (~3.4 GB) on CPU via HuggingFace transformers | |
| - **Inference backend:** [transformers](https://github.com/huggingface/transformers) with streaming | |
| ## Links | |
| - **All models (0.8B–27B):** [HuggingFace](https://huggingface.co/AshkanTaghipour) | |
| - **Training code & benchmarks:** [GitHub](https://github.com/AshkanTaghipour/GeoLLM-Qwen3.5-FineTune) | |
| - **Dataset:** [mineral-exploration-geology-qa](https://huggingface.co/datasets/AshkanTaghipour/mineral-exploration-geology-qa) | |