Update README.md

README.md

@@ -4,11 +4,9 @@ datasets:
   - lemonilia/LimaRP
 ---
 
-## GPTQ
+## Gen Settings & Prompting
 
-2048 sequence length
-
-VMware/open-instruct dataset
+https://rentry.org/tsukasamodel
 
 ## Training
 
@@ -24,9 +22,3 @@ base model mistralai/Mixtral-8x7B-v0.1 tuned on koishi commit 6e675d1 for one ep
 then tuned on pippa 6412b0c for one epoch (metharme completion)
 
 then tuned on limarp Version 2023-10-19 for 2 epochs in metharme completion format with limit_data_length set to 32768 in dataprepare-templates.py
-
-## Prompting
-
-The current model version has been trained on prompts using three different roles, which are denoted by the following tokens: `<|system|>`, `<|user|>` and `<|model|>`.
-
-The `<|system|>` prompt can be used to inject out-of-channel information behind the scenes, while the `<|user|>` prompt should be used to indicate user input. The `<|model|>` token should then be used to indicate that the model should generate a response. These tokens can happen multiple times and be chained up to form a conversation history.