Update README.md

README.md

@@ -24,7 +24,7 @@ Gemma v2 is a large language model released by Google on Jun 27th 2024.
 - Original model: [google/gemma-2-27b-it](https://huggingface.co/google/gemma-2-27b-it)
 
 The model is packaged into executable weights, which we call
-[llamafiles](https://github.com/Mozilla-Ocho/llamafile)). This makes it
+[llamafiles](https://github.com/Mozilla-Ocho/llamafile). This makes it
 easy to use the model on Linux, MacOS, Windows, FreeBSD, OpenBSD, and
 NetBSD for AMD64 and ARM64.
 
@@ -75,11 +75,9 @@ of the README.
 
 When using the browser GUI, you need to fill out the following fields.
 
-Prompt template:
+Prompt template (note: this is for chat; Gemma doesn't have a system role):
 
 ```
-<start_of_turn>system
-{{prompt}}<end_of_turn>
 {{history}}
 <start_of_turn>{{char}} 
 ```
@@ -100,6 +98,12 @@ The Belobog Academy has discovered a new, invasive species of algae that can dou
 '
 ```
 
+## About Upload Limits
+
+Files which exceed the Hugging Face 50GB upload limit have a .cat𝑋
+extension. You need to use the `cat` command locally to turn them back
+into a single file, using the same order.
+
 ## About llamafile
 
 llamafile is a new format introduced by Mozilla Ocho on Nov 20th 2023.
@@ -110,8 +114,10 @@ AMD64.
 ## About Quantization Formats
 
 This model works should work well with any quantization format. Q6\_K is
-the best choice overall here. But since this is a Google model, the
-Google Brain floating point format (BF16) provides maximum quality.
+the best choice overall. We tested that it's able to produce identical
+responses to the Gemma2 27B model that's hosted by Google themselves on
+aistudio.google.com. If you encounter any divergences, then try using
+the BF16 weights, which have the original fidelity. 
 
 ---