Text Generation
PEFT
Safetensors
English
lori
Mixture of Experts
adapter-routing
hybrid-mamba-attention
emergent-reasoning
lora
math
reasoning
nemotron
mamba
code
mathematical-reasoning
stem
hybrid-mamba
quantized
4bit
bnb
conversational
Eval Results (legacy)
Instructions to use uditjain/Nemotron-30B-Math-Instruct-LoRI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use uditjain/Nemotron-30B-Math-Instruct-LoRI with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-BF16") model = PeftModel.from_pretrained(base_model, "uditjain/Nemotron-30B-Math-Instruct-LoRI") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
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