Update README.md

---
license: apache-2.0
language:
- en
base_model:
- Qwen/Qwen2.5-1.5B-Instruct
pipeline_tag: text-generation
tags:
- gguf
- qlora
- instruction-tuning
- domain-adaptation
---

# Oceanographic-Instruct-GGUF

## Overview

**Oceanographic-Instruct-GGUF** is an instruction-tuned large language model adapted for **oceanography and marine-science–related knowledge**.
The model is fine-tuned from **Qwen/Qwen2.5-1.5B-Instruct** using **QLoRA** and released in **GGUF format** for efficient local inference.

This release focuses on **lightweight deployment**, **low-memory usage**, and **offline inference**.

---

## Base Model

- **Model:** Qwen/Qwen2.5-1.5B-Instruct
- **Architecture:** Decoder-only Transformer
- **Parameter Count:** ~1.5B

---

## Fine-Tuning Method

- **Technique:** QLoRA (Quantized Low-Rank Adaptation)
- **Training Type:** Instruction tuning
- **Precision:** Low-bit quantization during training
- **Output Format:** GGUF

---

## Intended Use

### Suitable for
- Educational exploration of oceanography topics
- Domain-focused question answering
- Research assistance
- Local/offline inference

### Not suitable for
- Medical or legal advice
- Safety-critical applications
- Fully autonomous decision-making systems

---

## Example Usage

```text
Explain the role of ocean currents in global climate regulation.

README.md

@@ -1,3 +1,15 @@
----
-license: apache-2.0
----
+---
+license: apache-2.0
+language:
+- en
+base_model:
+- Qwen/Qwen2.5-1.5B-Instruct
+pipeline_tag: text-generation
+tags:
+- gguf
+- qlora
+- oceanography
+- instruction-tuning
+- marine-science
+- climate
+---