KviGPT 7b
KviGPT - powerful LLM text generation model.
Usage
You can use KVIGPT using transformers library, here it is how:
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("kviai/KviGPT-7b-Chat")
model = AutoModelForCausalLM.from_pretrained("kviai/KviGPT-7b-Chat")
prompt = "Hi, what do you know about TON coin?"
output = pipeline(prompt)
print(output)
Model Details
You can train it using Amazon SageMaker or Auto Train
Credits
- Developed by: KviAI
- Funded byu: Katsyka Vasiliy
- Model type: Text Generation
- Language(s) (NLP): English
- License: Creative Commons Attribution Share Alike 4.0
Demo
- Downloads last month
- 16
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.