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
139
Inference Providers NEW
This model is not currently available via any of the supported Inference Providers.

Model tree for kviai/KviGPT-7b-Chat

Quantizations
2 models

Space using kviai/KviGPT-7b-Chat 1