NotASI/Gemma-2-9B-Alpaca-QLoRA-step120

Uploaded model

• Developed by: NotAiLOL
• License: apache-2.0
• Finetuned from model : unsloth/gemma-2-9b-bnb-4bit

This gemma2 model was trained 2x faster with Unsloth and Huggingface's TRL library.

Details

This model is fine tuned from unsloth/gemma-2-9b-bnb-4bit on the alpaca-cleaned dataset using the QLoRA method.

This model achieved a loss of 0.923800 on the alpaca-cleaned dataset after step 120.

This model follows the alpaca prompt:

Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request.

### Instruction:
{}

### Input:
{}

### Response:
{}

Training

This model is trained on a single Tesla T4 GPU.

• 1254.1115 seconds used for training.
• 20.9 minutes used for training.
• Peak reserved memory = 9.383 GB.
• Peak reserved memory for training = 2.807 GB.
• Peak reserved memory % of max memory = 63.622 %.
• Peak reserved memory for training % of max memory = 19.033 %.