Text Generation
PEFT
Safetensors
English
lora
baseline
flat-training
math
arithmetic
control-group
conversational
Eval Results (legacy)
Instructions to use dexmac/progressive-cognitive-qwen3b-baseline-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dexmac/progressive-cognitive-qwen3b-baseline-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-3B") model = PeftModel.from_pretrained(base_model, "dexmac/progressive-cognitive-qwen3b-baseline-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 11f66a93ac0946cf371fe7c352dc8be1770ada703024ed8ca0aee74c3143497b
- Size of remote file:
- 120 MB
- SHA256:
- fc369fb037fdced824cbdae3880d13971cff58cda426780308eb97966e4c8c2b
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