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@@ -20,7 +20,9 @@ This repo contains the fine-tuned model for the Turkish Llama 3 Project and its
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  The actual trained model is an adapter model of [Unsloth's Llama 3-8B quantized model](https://huggingface.co/unsloth/llama-3-8b-bnb-4bit), which is then converted into .gguf format using llama.cpp and into .bin format for vLLM.
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- You can access the fine-tuning code below.
 
 
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  ## Example Usage
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  You can use the adapter model with PEFT.
 
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  The actual trained model is an adapter model of [Unsloth's Llama 3-8B quantized model](https://huggingface.co/unsloth/llama-3-8b-bnb-4bit), which is then converted into .gguf format using llama.cpp and into .bin format for vLLM.
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+ You can access the fine-tuning code [here](https://colab.research.google.com/drive/1QRaqYxjfnFvwA_9jb7V0Z5bJr-PuHH7w?usp=sharing).
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+ Trained with NVIDIA L4 with 150 steps, took around 8 minutes.
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  ## Example Usage
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  You can use the adapter model with PEFT.