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