Text Generation
PEFT
TensorBoard
Safetensors
Arabic
English
Generated from Trainer
trl
grpo
math
reasoning
R1
conversational
Instructions to use Omartificial-Intelligence-Space/Fanar-Math-R1-GRPO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Omartificial-Intelligence-Space/Fanar-Math-R1-GRPO with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("QCRI/Fanar-1-9B-Instruct") model = PeftModel.from_pretrained(base_model, "Omartificial-Intelligence-Space/Fanar-Math-R1-GRPO") - Notebooks
- Google Colab
- Kaggle
Fanar-Math-R1-GRPO / runs /Jun14_01-16-06_lambda-hyperplane /events.out.tfevents.1749852970.lambda-hyperplane
- Xet hash:
- 3ca23ae09a72367b10400301da2557c3017523dd8878c82db013da0c30f29e4c
- Size of remote file:
- 5.5 kB
- SHA256:
- 109e366e3c25c9c1afeb3349bb353b69b1bbd23485c5a0ff0ff0c2c85806586b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.