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README.md

@@ -36,6 +36,7 @@ She is intended for **creative writing**, **roleplay**, **period-appropriate cor
 
 ## Known Issues / Limitations
 - The 160M model series are very brittle in chat, but are very good at text completion in general.
+- Punctuation for the 160M text completion model are variable at best albeit mostly conformant; this is likely due to variable differences seen from OCR sources. If used programmatically, some post-processing will almost certainly be required.
 - Ages and dates are unreliable (even within 1800–1899).
 - Because parts of the corpus were derived from OCR, occasional stray modern tokens may appear (e.g., “http”, “Google”, “Internet Archive”).
 - Training data includes UK and US English from the era.
@@ -53,14 +54,14 @@ Violet 160M was built on a corpus spanning 1800–1899 mostly sourced from Proje
 This project began as an attempt to build a local LLM without relying on copyrighted training sources. The author also values local models that can run on a user’s machine without sending data to the cloud.
 
 ## Demo Resources
-- HF Space: [Transformers.js Demo](Zakarth/violetdemo)
+- HF Space: [Transformers.js Demo](/spaces/zakarth/violetdemo)
 - CloudFlare Mirror: [Transformers.js Demo](https://pub-353f427e6227415cb077f3645638c125.r2.dev/index.html) 
 - Both of these are intended to use WebGPU and run local on your system -- No data is sent to the cloud. 
 
 ## Related repos
-- `Zakarth/violet-160m-chat` (base/completion for 160M series)
-- `Zakarth/violet-1b4` (base/completion)
-- `Zakarth/violet-1b4-chat-onnx` (WebGPU INT8)
+- `Zakarth/violet-160m-chat` (Fine tuned 160M model for chat. Brittle, but fun)
+- `Zakarth/violet-1b4` (base/completion for 1.4B model)
+- `Zakarth/violet-1b4-chat` (The most powerful "Violet" chat model)
 
 ## Prompt Format
 Use this structure: