Update README.md

README.md

@@ -29,10 +29,19 @@ The objective, as with the other Magnum models, is to emulate the prose style an
 
 [Here's the rsLoRA adapter](https://huggingface.co/Doctor-Shotgun/Magnum-v4-SE-70B-LoRA) for those merge-makers out there to play with.
 
+## Quantized models
+
 Thank you to [bartowski](https://huggingface.co/bartowski) for the [imatrix GGUF quants](https://huggingface.co/bartowski/L3.3-70B-Magnum-v4-SE-GGUF) and [mradermacher](https://huggingface.co/mradermacher) for the [static GGUF quants](https://huggingface.co/mradermacher/L3.3-70B-Magnum-v4-SE-GGUF).
 
 Thank you to [alpindale](https://huggingface.co/alpindale) for the [fp8 dynamic quant](https://huggingface.co/alpindale/L3.3-70B-Magnum-v4-SE-FP8).
 
+Exl2 quants courtesy of [MikeRoz](https://huggingface.co/MikeRoz), including `measurement.json` if you need to make one with a different bitrate:
+- [2.25bpw](https://huggingface.co/MikeRoz/Doctor-Shotgun_L3.3-70B-Magnum-v4-SE-2.25bpw-h6-exl2)
+- [3.5bpw](https://huggingface.co/MikeRoz/Doctor-Shotgun_L3.3-70B-Magnum-v4-SE-3.5bpw-h6-exl2)
+- [4.25bpw](https://huggingface.co/MikeRoz/Doctor-Shotgun_L3.3-70B-Magnum-v4-SE-4.25bpw-h6-exl2)
+- [6.0bpw](https://huggingface.co/MikeRoz/Doctor-Shotgun_L3.3-70B-Magnum-v4-SE-6.0bpw-h6-exl2)
+- [8.0bpw](https://huggingface.co/MikeRoz/Doctor-Shotgun_L3.3-70B-Magnum-v4-SE-8.0bpw-h8-exl2)
+
 ## Usage
 
 This model follows the Llama 3 prompt format.