# KviGPT 7b

KviGPT - powerful LLM text generation model.

## Usage

You can use KVIGPT using transformers library, here it is how:
```Python
# 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

- **Demo:** [https://hf.co/spaces/kviai/kvigpt]
{"language": ["en", "ru"], "license": "cc-by-sa-4.0", "library_name": "transformers", "tags": ["LLM", "Chat", "KVIGPT", "Llama", "Lora", "KVIAI"], "pipeline_tag": "text-generation"}
transformers pytorch llama text-generation LLM Chat KVIGPT Llama Lora KVIAI en ru license:cc-by-sa-4.0 autotrain_compatible endpoints_compatible has_space text-generation-inference region:us