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README.md

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+---
+base_model: unsloth/DeepSeek-R1-Distill-Llama-8B-unsloth-bnb-4bit
+library_name: peft
+license: apache-2.0
+tags:
+- oracle
+- scm
+- fusion-cloud
+- adapter
+- dora
+- lora
+language:
+- en
+pipeline_tag: text-generation
+---
+
+# Oracle Fusion Cloud SCM - DoRA Adapter
+
+Bu Oracle Fusion Cloud SCM konularında uzmanlaşmış **DoRA (Weight-Decomposed Low-Rank Adaptation)** adapter'ıdır.
+
+## 🎯 Kullanım
+
+### Google Colab'da Merge:
+```python
+# 1. Base model yükle
+from transformers import AutoTokenizer, AutoModelForCausalLM
+from peft import PeftModel
+import torch
+
+base_model_name = "unsloth/DeepSeek-R1-Distill-Llama-8B-unsloth-bnb-4bit"
+adapter_name = "ozkurt7/oracle-deepseek-r1-adapter"
+
+# 2. Model ve adapter yükle  
+tokenizer = AutoTokenizer.from_pretrained(base_model_name)
+base_model = AutoModelForCausalLM.from_pretrained(
+    base_model_name,
+    torch_dtype=torch.float16,
+    device_map="auto"
+)
+
+model = PeftModel.from_pretrained(base_model, adapter_name)
+
+# 3. Merge işlemi
+merged_model = model.merge_and_unload()
+
+# 4. Kaydet
+merged_model.save_pretrained("./oracle-merged")
+tokenizer.save_pretrained("./oracle-merged")
+
+# 5. Test
+messages = [
+    {"role": "system", "content": "You are an Oracle Fusion Cloud SCM expert."},
+    {"role": "user", "content": "What is Oracle SCM Cloud?"}
+]
+
+text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+inputs = tokenizer(text, return_tensors="pt")
+outputs = merged_model.generate(**inputs, max_new_tokens=200, temperature=0.7)
+response = tokenizer.decode(outputs[0], skip_special_tokens=True)
+print(response)
+```
+
+### Local kullanım:
+```bash
+# Adapter'ı indir
+git clone https://huggingface.co/ozkurt7/oracle-deepseek-r1-adapter
+
+# Python'da merge
+python merge_adapter.py
+```
+
+## 📊 Model Details
+- **Base Model**: unsloth/DeepSeek-R1-Distill-Llama-8B-unsloth-bnb-4bit
+- **Technique**: DoRA (Weight-Decomposed Low-Rank Adaptation)
+- **Domain**: Oracle Fusion Cloud SCM
+- **Status**: Adapter only (merge required)
+- **Memory**: ~500MB (adapter only)
+
+## 🚀 Next Steps
+1. Google Colab'da bu adapter'ı kullanarak merge yapın
+2. Merge edilen modeli yeni repo'ya upload edin
+3. GGUF formatına dönüştürün
+
+## 🛠️ Troubleshooting
+- **Memory Error**: Colab Pro kullanın veya local'de merge yapın  
+- **Loading Error**: `trust_remote_code=True` ekleyin
+- **CUDA Error**: `device_map="auto"` kullanın
+
+**Created by**: Kaggle → Google Colab workflow
+**Date**: 2025-08-12