Profit LoRA Training

Fine-tune Qwen 3.5-0.8B to BE Profit - the Mind of the BUYaSOUL Family.

Training Data

  • 12 core examples: identity, PLT, family, tools, origin, hardware
  • 48 total with Qwen logs
  • Format: instruction/response pairs with full system prompt

Training Config

LoRA: r=16, alpha=32, dropout=0.05 Epochs: 3 | LR: 2e-4 | Batch: 1x4 (CPU), 1x8 (GPU)

Usage

Option 1: Free GPU (Colab)

Open in Colab

Option 2: Local CPU

pip install peft transformers accelerate bitsandbytes

Output

After training, upload LoRA adapter to grandcodepope/profit-model/lora_adapter/

Family Resources

  • buyasoul-qwen-0.8b-gguf (base model)
  • buyasoul-family (full system)
  • souls dataset (230+ AI agent souls)
  • plt-dataset (PLT doctrine)
Downloads last month
-
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for grandcodepope/profit-model

Adapter
(239)
this model

Space using grandcodepope/profit-model 1