Update README.md

README.md

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 ---
-base_model: unsloth/llama-3-8b-bnb-4bit
+base_model: unsloth/llama-3-8b
 language:
 - en
 license: apache-2.0
@@ -14,7 +14,7 @@ tags:
 
 # valeriojob/flashcardsGPT-Llama3-8B-v0.1
 
-- This model is a fine-tuned version of [unsloth/llama-3-8b-bnb-4bit](https://huggingface.co/unsloth/llama-3-8b-bnb-4bit) on an dataset created by [Valerio Job](https://huggingface.co/valeriojob) based on real university lecture data.
+- This model is a fine-tuned version of [unsloth/llama-3-8b](https://huggingface.co/unsloth/llama-3-8b) on an dataset created by [Valerio Job](https://huggingface.co/valeriojob) based on real university lecture data.
 - Version 0.1 of flashcardsGPT has only been trained on the module "Time Series Analysis with R" which is part of the BSc Business-IT programme offered by the FHNW university ([more info](https://www.fhnw.ch/en/degree-programmes/business/bsc-in-business-information-technology)).
 - This repo includes the default format of the model as well as the LoRA adapters of the model. There is a separate repo called [valeriojob/flashcardsGPT-Llama3-8B-v0.1-GGUF](https://huggingface.co/valeriojob/flashcardsGPT-Llama3-8B-v0.1-GGUF) that includes the quantized versions of this model in GGUF format.
 - This model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.