Text Generation
Safetensors
gemma4
conversational

ConicCat/Gemma4-GarnetV3-31B

GarnetV3 is a finetune of Gemma 4 focused on improving roleplay and writing performance using DPO with an emphasis on prose quality and humanlike characters. The dataset consists of approximately 1/3rds writing and 2/3ds roleplay.

How to Get Started with the Model

I recommend grabbing the Q4_K_M gguf and using koboldcpp.

Training Details

Training was conducted on 1xA100 80GB for 9 hours.

Datasets

  • ConicCat/Lamp_P_Preference: Human revised vs AI writing to improve prose.
  • ConicCat/Charcards_Delta_Qwen3_5V2: Qwen3.5 27B vs Qwen3.5 2B using the AI2 delta tuning recipe for data generation.
  • ConicCat/Charcards_Context_Distill_Gemma4_26BV2: Gemma 4 26B with full context as chosen and missing context as rejected.
Downloads last month
55
Safetensors
Model size
31B params
Tensor type
BF16
Β·
Inference Providers NEW
This model isn't deployed by any Inference Provider. πŸ™‹ Ask for provider support

Model tree for ConicCat/Gemma4-GarnetV3-31B

Finetuned
(367)
this model
Merges
1 model
Quantizations
5 models

Datasets used to train ConicCat/Gemma4-GarnetV3-31B