Update README.md

README.md

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----
-license: apache-2.0
----
+---
+license: apache-2.0
+language:
+- en
+quantized_by: TheMelonGod
+pipeline_tag: text-generation
+tags:
+- quantized
+- safetensors
+- exllamav2
+- mistral
+base_model:
+- qingy2019/NaturalLM
+base_model_relation: quantized
+---
+ExLlamaV2 quantizations of: [qingy2019 - NaturalLM](https://huggingface.co/qingy2019/NaturalLM)
+
+
+Quantizations (6hb)  
+[8.0bpw](https://huggingface.co/TheMelonGod/NaturalLM-exl2/tree/8.0bpw)  
+[7.5bpw](https://huggingface.co/TheMelonGod/NaturalLM-exl2/tree/7.5bpw)  
+[7.0bpw](https://huggingface.co/TheMelonGod/NaturalLM-exl2/tree/7.0bpw)  
+[6.5bpw](https://huggingface.co/TheMelonGod/NaturalLM-exl2/tree/6.5bpw)  
+[6.0bpw](https://huggingface.co/TheMelonGod/NaturalLM-exl2/tree/6.0bpw)  
+[5.5bpw](https://huggingface.co/TheMelonGod/NaturalLM-exl2/tree/5.5bpw)  
+[5.0bpw](https://huggingface.co/TheMelonGod/NaturalLM-exl2/tree/5.0bpw)  
+[4.5bpw](https://huggingface.co/TheMelonGod/NaturalLM-exl2/tree/4.5bpw)  
+[4.25bpw](https://huggingface.co/TheMelonGod/NaturalLM-exl2/tree/4.25bpw)  
+[4.0bpw](https://huggingface.co/TheMelonGod/NaturalLM-exl2/tree/4.0bpw)  
+[3.75bpw](https://huggingface.co/TheMelonGod/NaturalLM-exl2/tree/3.75bpw)  
+[3.5bpw](https://huggingface.co/TheMelonGod/NaturalLM-exl2/tree/3.5bpw)  
+[3.0bpw](https://huggingface.co/TheMelonGod/NaturalLM-exl2/tree/3.0bpw)  
+[2.75bpw](https://huggingface.co/TheMelonGod/NaturalLM-exl2/tree/2.75bpw)  
+[2.5bpw](https://huggingface.co/TheMelonGod/NaturalLM-exl2/tree/2.5bpw)  
+[2.25bpw](https://huggingface.co/TheMelonGod/NaturalLM-exl2/tree/2.25bpw)  
+[2.0bpw](https://huggingface.co/TheMelonGod/NaturalLM-exl2/tree/2.0bpw)  
+
+
+
+If you need a specific model quantization or a particular bits per weight, please let me know. I’m happy to help quantize lesser known models.
+
+
+If you have any suggestions for improvements or feedback, feel free to reach out. Your input is greatly appreciated and helps me make quantizations better for everyone.
+
+
+Special thanks to [turboderp](https://huggingface.co/turboderp) for developing the tools that made these quantizations possible. Your contributions are greatly appreciated!