Aryabhata-1.0-GGUF

234
7.0B
2 languages
BF16
license:apache-2.0
by
Mungert
Language Model
OTHER
7B params
New
234 downloads
Early-stage
Try on Hugging FaceAdd to Compare
Edge AI:
Mobile
Laptop
Server
16GB+ RAM
Mobile
Laptop
Server
Quick Summary

AI model with specialized capabilities.

Device Compatibility

Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
7GB+ RAM

Code Examples

💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠
💡 How to Usepythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_id = "PhysicsWallahAI/Aryabhata-1.0"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)


# Define stop strings
stop_strings = ["<|im_end|>", "<|end|>", "<im_start|>", "⁠

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