metadata
base_model: allenai/Olmo-3.1-32B-Instruct
library_name: transformers
model_name: Role-mo-V2-32B
tags:
- dpo
- trl
licence: license
datasets:
- nvidia/HelpSteer3
- ConicCat/Lamp-P-Prompted
- ConicCat/C2-Nemo-Delta-RLCD-Preference
Model Card for ConicCat/Role-mo-V2-32B
This model is a fine-tuned version of allenai/Olmo-3.1-32B-Instruct using humanline dpo to improve writing, roleplay, and chat capabilities.
Sampler Settings
- Chatml template
- I recommend .7 temp and (optionally) 1.05 rep pen.
Datasets
- nvidia/HelpSteer3 to maintain general capabilites and improve chat performance.
- ConicCat/Lamp-P-Prompted for improved prose and slop reduction.
- A C2 based human prompt / synthetic response roleplay preference dataset.
Changelog
- V0 > V1: Changed preference data construction to improve margins between the chosen and rejected responses.
- V1 > V2: More optimal hyperparameters; lowering lr and increasing bsz allows for stable training with lower beta.