This model was trained on the RealGuardrails dataset, an instruction-tuning dataset focused on improving system prompt adherence and precedence. In particular, it was trained via SFT on the systemmix split (150K examples) using our custom training library torchllms (yielding normster/RealGuardrails-Llama3.2-3B-Instruct-SFT), and then trained via DPO on the preferencemix split (30K examples), and converted back to a transformers compatible checkpoint.

Training Hyperparameters

Name	Value
DPO beta	0.01
optimizer	AdamW
batch size	128
learning rate	1e-5
lr scheduler	cosine with 50 warmup steps
betas	(0.9, 0.999)
eps	1e-8
weight decay	0
epochs	1
max grad norm	1.0
precision	bf16
max length	4096

normster/RealGuardrails-Llama3.2-3B-Instruct-SFT-DPO

RealGuardrails Models

Training Hyperparameters

normster/
RealGuardrails-Llama3.2-3B-Instruct-SFT-DPO