56 lines
1.8 KiB
Markdown
56 lines
1.8 KiB
Markdown
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---
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license: apache-2.0
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base_model: Qwen/Qwen2.5-7B-Instruct
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tags:
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- geology
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- earth-science
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- petroleum-geology
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- qlora
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- qwen2.5
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language:
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- en
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---
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# Aegis-Geo-Mind (Qwen2.5-7B, QLoRA)
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A Qwen2.5-7B-Instruct model fine-tuned with QLoRA on a curated geology and
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Earth-science corpus, with an emphasis on petroleum geology (sedimentology of
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petroliferous basins, reservoir stratigraphy, well logging, and seismic
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interpretation).
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## Intended use
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Educational and research assistant for geology and petroleum-geology concepts.
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It produces fluent, domain-appropriate explanations using correct terminology
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across structural geology, stratigraphy, sedimentology, petroleum systems, and
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well-log interpretation.
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## Training
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- Base model: Qwen/Qwen2.5-7B-Instruct
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- Method: QLoRA (4-bit), LoRA rank 16
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- Sequence length: 1024 tokens
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- Corpus: filtered geoscience QA (public GeoSignal subset) combined with
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curated general-geology and petroleum-geology QA pairs, deduplicated and
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quality-filtered.
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## Limitations (please read)
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This is a supervised fine-tune **without retrieval augmentation**. It reliably
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reproduces the *style and structure* of expert geological reasoning, but it can
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state **specific facts, numbers, and ratios incorrectly with high confidence**.
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Known weak areas include:
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- Kerogen type classification (H/C and O/C ratios can be inverted)
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- Numeric ranges (oil-window temperatures, burial depths, maturity cutoffs)
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- Occasional invented specific values
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For any factual or numeric use, verify against authoritative sources
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(e.g. Tissot & Welte, Selley, Schlumberger logging references). A
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retrieval-augmented (RAG) version addressing these gaps is planned.
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## Not for operational decisions
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This model must not be used as a sole basis for exploration, drilling, or any
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operational geological decision.
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