Update with VRAM estimates

README.md

@@ -13,26 +13,17 @@ pipeline_tag: text-generation
 
 Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.13">turboderp's ExLlamaV2 v0.0.13</a> for quantization.
 
-## The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)
+<b>The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)</b>
 
 Each branch contains an individual bits per weight, with the main one containing only the meaurement.json for further conversions.
 
-Conversion was done using the default calibration dataset.
-
-Default arguments used except when the bits per weight is above 6.0, at that point the lm_head layer is quantized at 8 bits per weight instead of the default 6.
-
-Original model: https://huggingface.co/Kquant03/Buttercup-4x7B-V2-laser
-
-
-<a href="https://huggingface.co/bartowski/Buttercup-4x7B-V2-laser-exl2/tree/8_0">8.0 bits per weight</a>
-
-<a href="https://huggingface.co/bartowski/Buttercup-4x7B-V2-laser-exl2/tree/6_5">6.5 bits per weight</a>
-
-<a href="https://huggingface.co/bartowski/Buttercup-4x7B-V2-laser-exl2/tree/5_0">5.0 bits per weight</a>
-
-<a href="https://huggingface.co/bartowski/Buttercup-4x7B-V2-laser-exl2/tree/4_25">4.25 bits per weight</a>
-
-<a href="https://huggingface.co/bartowski/Buttercup-4x7B-V2-laser-exl2/tree/3_5">3.5 bits per weight</a>
+| Branch | Bits | lm_head bits | VRAM (4k) | VRAM (16k) | VRAM (32k) | Description |
+| ------ | ---- | ------------ | ---- | ---- | ---- | ----------- |
+| [8_0](https://huggingface.co/bartowski/Buttercup-4x7B-V2-laser-exl2/tree/8_0) | 8.0 | 8.0 | 24.8 GB | 26.3 GB | 28.3 GB | Maximum quality that ExLlamaV2 can produce, near unquantized performance. |
+| [6_5](https://huggingface.co/bartowski/Buttercup-4x7B-V2-laser-exl2/tree/6_5)   | 6.5  | 8.0 | 20.3 GB | 21.8 GB | 23.8 GB | Near unquantized performance at vastly reduced size, **recommended**.       |
+| [5_0](https://huggingface.co/bartowski/Buttercup-4x7B-V2-laser-exl2/tree/5_0) | 5.0  | 6.0 | 15.8 GB | 17.3 GB | 19.3 GB | Slightly lower quality vs 6.5. |
+| [4_25](https://huggingface.co/bartowski/Buttercup-4x7B-V2-laser-exl2/tree/4_25) | 4.25 | 6.0 | 14.0 GB | 15.5 GB | 17.5 GB | GPTQ equivalent bits per weight, slightly higher quality, great for 16gb cards with 16k context.                  |
+| [3_5](https://huggingface.co/bartowski/Buttercup-4x7B-V2-laser-exl2/tree/3_5) | 3.5  | 6.0 | 11.3 GB | 12.8 GB | 14.8 GB | Lower quality, not recommended, only suitable for 12GB cards. |
 
 
 ## Download instructions