Nemotron-Research-Reasoning-Qwen-1.5B

7.2K
231
1.5B
1 language
license:cc-by-nc-4.0
by
nvidia
Language Model
OTHER
1.5B params
New
7K downloads
Early-stage
Try on Hugging FaceAdd to Compare
Edge AI:
Mobile
Laptop
Server
4GB+ RAM
Mobile
Laptop
Server
Quick Summary

🚀 The leading generalist reasoning model for cutting-edge research and development 🌟 News - [2025-11-20] Nemotron-Research-Reasoning-Qwen-1.

Device Compatibility

Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
2GB+ RAM

Code Examples

texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
texttransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")
model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Research-Reasoning-Qwen-1.5B")

Deploy This Model

Production-ready deployment in minutes

Together.ai

Instant API access to this model

Fastest API

Production-ready inference API. Start free, scale to millions.

Try Free API

Replicate

One-click model deployment

Easiest Setup

Run models in the cloud with simple API. No DevOps required.

Deploy Now

Disclosure: We may earn a commission from these partners. This helps keep LLMYourWay free.