Quantization made by Richard Erkhov.
Llama3.2-1B-summary-length-exp6.1 - AWQ
Original model description:
library_name: transformers
tags: []
Model Card for Model ID
- Summary Length PPO experiment #6.1
- No KL divergence in loss
- Loss = -P*R/sum(P), instead of Loss = (log(P)*R).mean()
Model Details
- Dataset size: 1024
- Epochs: 1
- Batch Size: 4 * 4 (w/ 4 GPUs) * 8 (w/ Gradient Accumulation)
Optimizer args: Torch AdamW default, except