rdhawk/TR_TaskSpesificLM

rdhawk/TR_TaskSpesificLM is a Turkish fine-tuned version of google/gemma-2-9b-it. It is trained using the unsloth.

Training Information

Base Model: google/gemma-2-9b-it

Training Data: A mixed dataset of 50,000 rows. Contains open-ended, multiple choice, and fill-in-the-blank questions.

Training Time: 20 hours on NVIDIA A6000

Downloads last month
1,451
Safetensors
Model size
9.24B params
Tensor type
BF16
·
Inference Providers NEW
This model is not currently available via any of the supported Inference Providers.
The model cannot be deployed to the HF Inference API: The model has no library tag.

Model tree for rdhawk/TR_TaskSpesificLM

Base model

google/gemma-2-9b
Finetuned
(189)
this model