File size: 943 Bytes
88bb48e 9b3ed94 9e04eba 9b3ed94 9e04eba 55b20f9 3ed70ed a38c3f2 3ed70ed 9e04eba 3ed70ed 9e04eba 3ed70ed 9e04eba 3ed70ed 9e04eba 3ed70ed 9e04eba 3ed70ed 9e04eba 3ed70ed a38c3f2 9e04eba a38c3f2 3ed70ed 9e04eba 3ed70ed 55b20f9 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 |
---
license: cc-by-sa-4.0
language:
- en
- ru
pipeline_tag: text-generation
tags:
- LLM
- Chat
- KVIGPT
- Llama
- Lora
- KVIAI
library_name: transformers
---
# 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] |