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
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.
- Downloads last month
- 3
Inference Providers
NEW
This model isn't deployed by any Inference Provider.
๐
Ask for provider support