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README.md

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+---
+base_model: Qwen/Qwen2.5-32B-Instruct
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- lora
+- sft
+- dpo
+- coding
+- eu-trained
+- transformers
+- trl
+license: apache-2.0
+---
+
+# Kode 32B LoRA Adapter
+
+LoRA adapter (r=64, alpha=128) trained with DPO+SFT on production code samples.
+
+- **Base model:** Qwen/Qwen2.5-32B-Instruct
+- **Training:** Claude-generated code samples on A100 80GB
+- **Languages:** Rust, Go, TypeScript, Python, C#, SQL, Tailwind
+- **License:** Apache 2.0
+
+## Usage
+
+```python
+from peft import PeftModel
+from transformers import AutoModelForCausalLM
+
+base = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-32B-Instruct")
+model = PeftModel.from_pretrained(base, "SimpleLLM/kode-32b-lora")
+```
+
+Hosted inference available at [SimpleLLM.eu](https://simplellm.eu)