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@@ -26,7 +26,7 @@ Entire dataset was trained on 4 x A100 80GB. For 3 epoch, training took 165 hour
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  This is a full fine tuned model. Links for quantized models are given below.
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- **GPTQ GGUF & AWQ**
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  GPTQ: [Link](https://huggingface.co/TheBloke/Code-290k-13B-GPTQ)
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@@ -34,8 +34,10 @@ GGUF: [Link](https://huggingface.co/TheBloke/Code-290k-13B-GGUF)
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  AWQ: [Link](https://huggingface.co/TheBloke/Code-290k-13B-AWQ)
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- Extremely thankful to [TheBloke](https://huggingface.co/TheBloke) for making Quantized versions of the model.
 
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  **Example Prompt:**
 
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  This is a full fine tuned model. Links for quantized models are given below.
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+ **GPTQ, GGUF, AWQ & Exllama**
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  GPTQ: [Link](https://huggingface.co/TheBloke/Code-290k-13B-GPTQ)
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  AWQ: [Link](https://huggingface.co/TheBloke/Code-290k-13B-AWQ)
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+ Exllama v2: [Link](https://huggingface.co/bartowski/Code-290k-13B-exl2)
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+ Extremely thankful to [TheBloke](https://huggingface.co/TheBloke) and [Bartowski](https://huggingface.co/bartowski)for making Quantized versions of the model.
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  **Example Prompt:**