Instructions to use automationkasey/projectx-economic-brain-sft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use automationkasey/projectx-economic-brain-sft with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-7B-Instruct") model = PeftModel.from_pretrained(base_model, "automationkasey/projectx-economic-brain-sft") - Notebooks
- Google Colab
- Kaggle
ProjectX Economic Brain โ Phase 1 (SFT)
Supervised fine-tuning of Qwen/Qwen2.5-7B-Instruct on financial domain data.
Training Details
- Method: LoRA (r=16, alpha=32)
- Dataset: gbharti/finance-alpaca
- Epochs: 2
- Learning rate: 2e-4 (cosine)
- Format: ChatML
Usage
from transformers import AutoModelForCausalLM, AutoTokenizer
from peft import PeftModel
base = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-7B-Instruct")
model = PeftModel.from_pretrained(base, "automationkasey/projectx-economic-brain-sft")
tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen2.5-7B-Instruct")
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