Update README.md

Added links to more quants

README.md

@@ -121,9 +121,15 @@ If you save this as a .json file, you can import it directly into Silly Tavern.
 This repo contains branches for various exllama2 quanizations of the model calibratend on a version of the PIPPA dataset.
 
 * Main Branch, Full weights
-* 3.2 bpw -- This will fit comfortably within 48 GB of VRAM at 8192 context.
-* 3.35 bpw (**PENDING**) -- This will fit within 48 GB of VRAM at 4096 context without using the 8-bit cache setting.
-* 3.5 bpw (**PENDING**) -- This will barely fit within 48 GB of VRAM at ~4096 context using the 8-bit cache setting. If you get OOM, try lowering the context size slightly until it fits.
+* 3.2 bpw branch -- This will fit comfortably within 48 GB of VRAM at 8192 context.
+* 3.35 bpw branch -- This will fit within 48 GB of VRAM at 4096 context without using the 8-bit cache setting.
+* 3.0 bpw -- [LoneStriker/Rogue-Rose-103b-v0.2-3.0bpw-h6-exl2-2](https://huggingface.co/LoneStriker/Rogue-Rose-103b-v0.2-3.0bpw-h6-exl2-2)
+* 4.0 bpw -- [LoneStriker/Rogue-Rose-103b-v0.2-4.0bpw-h6-exl2-2](https://huggingface.co/LoneStriker/Rogue-Rose-103b-v0.2-4.0bpw-h6-exl2-2)
+* 5.0 bpw -- [LoneStriker/Rogue-Rose-103b-v0.2-5.0bpw-h6-exl2-2](https://huggingface.co/LoneStriker/Rogue-Rose-103b-v0.2-5.0bpw-h6-exl2-2)
+* GGUF -- [TheBloke/Rogue-Rose-103b-v0.2-GGUF](https://huggingface.co/TheBloke/Rogue-Rose-103b-v0.2-GGUF)
+* AWQ -- [TheBloke/Rogue-Rose-103b-v0.2-AWQ](https://huggingface.co/TheBloke/Rogue-Rose-103b-v0.2-AWQ)
+* GPTQ -- [TheBloke/Rogue-Rose-103b-v0.2-GPTQ](https://huggingface.co/TheBloke/Rogue-Rose-103b-v0.2-GPTQ)
+
 
 ### Licence and usage restrictions