| base_model: unsloth/Qwen3-8B | |
| library_name: peft | |
| # LoRA Adapter for SFT | |
| This is a LoRA (Low-Rank Adaptation) adapter trained using supervised fine-tuning (SFT). | |
| ## Base Model | |
| - **Base Model**: `unsloth/Qwen3-8B` | |
| - **Adapter Type**: LoRA | |
| - **Task**: Supervised Fine-Tuning | |
| ## Usage | |
| ```python | |
| from transformers import AutoModelForCausalLM, AutoTokenizer | |
| from peft import PeftModel | |
| # Load base model and tokenizer | |
| base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen3-8B") | |
| tokenizer = AutoTokenizer.from_pretrained("unsloth/Qwen3-8B") | |
| # Load LoRA adapter | |
| model = PeftModel.from_pretrained(base_model, "thejaminator/aligned_all_claude_10000-20251008") | |
| ``` | |
| ## Training Details | |
| This adapter was trained using supervised fine-tuning on conversation data to improve the model's ability to follow instructions and generate helpful responses. | |