Update README.md

README.md

@@ -3,14 +3,14 @@ license: gemma
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 EXL2 quants of [gemma-2-27b-it](https://huggingface.co/google/gemma-2-27b-it)
 
-My quants are meant to be a tight fit in 24 GB VRAM.
+My quants are meant to be a tight fit in 24 GB VRAM. Following VRAM usage numbers assume **8k context**.
 
-- [**5.8** bpw & **8** bpw head](https://huggingface.co/mo137/gemma-2-27b-it-exl2/tree/5.8bpw_h8)
-should use **21.85 GB VRAM** with 4 bit cache or **23.69 GB** with 16 bit cache  
-- [**6.5** bpw & **8** bpw head](https://huggingface.co/mo137/gemma-2-27b-it-exl2/tree/6.5bpw_h8)
-should use **23.81 GB VRAM** with 4 bit cache
+bpw|head|4 bit cache|16 bit cache
+--:|--:|--:|--:
+👉 [**5.8**](https://huggingface.co/mo137/gemma-2-27b-it-exl2/tree/5.8bpw_h8)|8 bit|21.85 GB|23.69 GB
+👉 [**6.5**](https://huggingface.co/mo137/gemma-2-27b-it-exl2/tree/6.5bpw_h8)|8 bit|23.81 GB|25.65 GB
 
-The difference between 6 bit and 8 bit head is ~300 MB, it's not huge. It could be exchanged for about 0.1 bpw in the body, so 6.6bpw_h6 should use similar VRAM to 6.5bpw_h8.
+For this model the difference between 6 bit and 8 bit head is ~300 MB, it's not huge. It could be exchanged for about 0.1 bpw in the body.
 
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 Check out turboderp's quants & `measurement.json`: