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README.md
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@@ -32,14 +32,9 @@ THE JAX/FLAX version of model is available both for training and usage
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## Examples 🚀
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```text
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```
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```text
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Q&A: USER: how can I start to work out more \n
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```
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```text
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INFO: USER: how can I start to work out more \n
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```
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For Byte by Byte Generation, You can use this code
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```python
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# It's recommended to use PipeLine
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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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- you can simply import models like
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```python
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# Pytorch
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## Examples 🚀
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```text
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<\s><|prompter|> TEXT <\s><|ai|>
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```
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+
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For Byte by Byte Generation, You can use this code
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```python
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# It's recommended to use PipeLine
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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 and Jax
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- you can simply import models like (In EasyDeL or OST Library)
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```python
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# Pytorch
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