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README.md
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this model uses Task classification and the conversation is between USER and Answer or AI
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# Using Model in Huggingface Transformers
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##
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```text
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CONVERSATION: USER: how can I start to work out more \n
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### LGeM ๐
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- what is LGeM, LGeM is a CausalLM Model that is trained on self instruct data (Alpaca data) and for
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- it's Decoder Only
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- built-in Pytorch
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this model uses Task classification and the conversation is between USER and Answer or AI
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# NOTE โ ๏ธ
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This model is a finetuned version of Kolla with LGeM data With Respect to them and changes some data and optimizers
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The model includes pre-trained Weights so it is GNU v3.0 licensed as same as Original Llama Model
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# Using Model in Huggingface Transformers
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## Examples ๐
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```text
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CONVERSATION: USER: how can I start to work out more \n
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### LGeM ๐
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- what is LGeM, LGeM is a CausalLM Model that is trained on self instruct data (Alpaca data) and for initialization of the first train of the main model (weights are available) I used pre weights from Alpaca LoRA (open source)
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- it's Decoder Only
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- built-in Pytorch
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