Update README.md

README.md

@@ -10,10 +10,11 @@ pipeline_tag: text-generation
 
 exllamav2 quantizations of TheDrummer's [Behemoth-R1-123B-v2](https://huggingface.co/TheDrummer/Behemoth-R1-123B-v2)
 
-[2.50bpw h6](https://huggingface.co/MikeRoz/Behemoth-R1-123B-v2-exl2/tree/2.50bpw_H6) (Quantizing)    
+[2.25bpw h6](https://huggingface.co/MikeRoz/Behemoth-R1-123B-v2-exl2/tree/2.25bpw_H6) (32.964 GiB)(Uploading)    
 [4.25bpw h6](https://huggingface.co/MikeRoz/Behemoth-R1-123B-v2-exl2/tree/4.25bpw_H6) (61.324 GiB)    
-[8.00bpw h8](https://huggingface.co/MikeRoz/Behemoth-R1-123B-v2-exl2/tree/8.00bpw_H8) (114.559 GiB) (Uploading)    
+[8.00bpw h8](https://huggingface.co/MikeRoz/Behemoth-R1-123B-v2-exl2/tree/8.00bpw_H8) (114.559 GiB)     
 [measurement.json](https://huggingface.co/MikeRoz/Behemoth-R1-123B-v2-exl2/resolve/main/measurement.json?download=true)  
 
-The 4.25bpw quant will squeeze into 3 24GB GPUs with 16k fp16 context, but can load with more than 64k context in 4 24GB GPUs.    
+The 2.25bpw quant will load with 28k fp16 context on 2 24 GB GPUs, or 89k fp16 context on 3 24 GB GPUs.    
+The 4.25bpw quant will squeeze into 3 24GB GPUs with 16k fp16 context, but can load with 73k of fp16 context in 4 24GB GPUs.    
 The 8.00bpw quant requires 6 24 GB GPUs (or equivalent)