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tinyllama-msme-india
samarthbhadane/tinyllama-msme-india
tinyllama-msme-india is a machine learning model from samarthbhadane. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as apache-2.0.
Fine-tuned TinyLlama-1.1B for Indian MSME enterprise data.
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At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Nov 7, 2025
- Updated
- Nov 7, 2025
- SHA
- 7a278120
Base models
Model card
From the Hugging Face model README
TinyLlama MSME India
Fine-tuned TinyLlama-1.1B for Indian MSME enterprise data.
Quick Start
import torch
from transformers import AutoModelForCausalLM, AutoTokenizer
from peft import PeftModel
base_model = AutoModelForCausalLM.from_pretrained(
"TinyLlama/TinyLlama-1.1B-Chat-v1.0",
device_map="auto",
torch_dtype=torch.float16
)
model = PeftModel.from_pretrained(base_model, "samarthbhadane/tinyllama-msme-india")
tokenizer = AutoTokenizer.from_pretrained("TinyLlama/TinyLlama-1.1B-Chat-v1.0")
prompt = """<|system|>
You are a helpful assistant that provides information about MSME enterprises in India.</s>
<|user|>
Tell me about PARAG MASALA UDYOG</s>
<|assistant|>
"""
inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
outputs = model.generate(**inputs, max_new_tokens=150, temperature=0.3)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))
Training
- Training Data: 10,000 MSME records
- Steps: 2,000
- Final Loss: 0.516 (train) / 0.530 (val)
- LoRA Rank: 8
- GPU: NVIDIA RTX A4000
License
Apache 2.0
- Library
- peft
- License
- apache-2.0
- Languages
- en
- Created
- Nov 7, 2025
- Updated
- Nov 7, 2025