Update README.md

README.md

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 <strong><span style="font-size: larger;">bertin-gpt-j-6B-alpaca-4bit-128g 🤗</span></strong>
 
+![bertin](https://aeiljuispo.cloudimg.io/v7/https://s3.amazonaws.com/moonup/production/uploads/1627122830113-5ef3829e518622264685b0cd.png?w=200&h=200&f=face)
+
 **descripción en español agregado ⬇️**
 
 This is a 4-bit GPTQ version of the [bertin-project/bertin-gpt-j-6B-alpaca]( https://huggingface.co/bertin-project/bertin-gpt-j-6B-alpaca)
 
+
 this is the result of quantizing to 4 bits using [AutoGPTQ](https://github.com/PanQiWei/AutoGPTQ).
 
 ** How to easily download and use this model in text-generation-webui** (tutorial by [TheBloke](https://huggingface.co/TheBloke))
@@ -61,7 +64,7 @@ This dataset cannot be used to create models that compete in any way with OpenAI
 Finetuning
 To fine-tune the BERTIN GPT-J-6B model we used the code available on BERTIN's fork of mesh-transformer-jax, which provides code adapt an Alpaca dataset to finetune any GPT-J-6B model. We run finetuning for 3 epochs using sequence length of 2048 on a single TPUv3-8 for 3 hours on top of BERTIN GPT-J-6B.
 
-** español ** 
+**español** 
 
 Esta es una versión GPTQ de 4 bits del [bertin-project/bertin-gpt-j-6B-alpaca]( https://huggingface.co/bertin-project/bertin-gpt-j-6B-alpaca)