Kvikontent
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README.md
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license: cc-by-sa-4.0
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language:
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- en
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pipeline_tag: text-generation
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tags:
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- LLM
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- Chat
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library_name: transformers
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---
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# KviGPT 7b
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KviGPT - powerful LLM text generation model.
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##
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You can
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- **Developed by:** KviAI
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- **Funded
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- **Model type:** Text Generation
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- **Language(s) (NLP):** English
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- **License:** Creative Commons Attribution Share Alike 4.0
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<!-- Provide the basic links for the model. -->
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- **Demo:** [https://hf.co/spaces/kviai/kvigpt]
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license: cc-by-sa-4.0
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language:
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- en
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- ru
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pipeline_tag: text-generation
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tags:
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- LLM
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- Chat
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- KVIGPT
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- Llama
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- Lora
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- KVIAI
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library_name: transformers
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---
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# KviGPT 7b
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KviGPT - powerful LLM text generation model.
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## Usage
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You can use KVIGPT using transformers library, here it is how:
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```Python
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# Load model directly
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from transformers import AutoTokenizer, AutoModelForCausalLM
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tokenizer = AutoTokenizer.from_pretrained("kviai/KviGPT-7b-Chat")
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model = AutoModelForCausalLM.from_pretrained("kviai/KviGPT-7b-Chat")
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prompt = "Hi, what do you know about TON coin?"
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output = pipeline(prompt)
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print(output)
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```
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## Model Details
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You can train it using Amazon SageMaker or Auto Train
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## Credits
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- **Developed by:** KviAI
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- **Funded byu:** Katsyka Vasiliy
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- **Model type:** Text Generation
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- **Language(s) (NLP):** English
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- **License:** Creative Commons Attribution Share Alike 4.0
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## Demo
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- **Demo:** [https://hf.co/spaces/kviai/kvigpt]
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