Update README.md

README.md

@@ -4,24 +4,27 @@ datasets:
   - ludis/geepeetee4
 ---
 
-just testing for now, qlora merge, several things different between this and the 7b
+## GGUF
 
-## training
+gguf quants for ludis/tsukasa-limarp-7b 
 
-NousResearch/Llama-2-13b-hf tuned on koishi data (without code subsets) for 1 epoch
+## Prompting
 
-then tuned on pippa for 1 epoch
+https://rentry.org/v43eo - reccomended prompts and gen settings
 
-then tuned on ludis/geepeetee4 commit 58aabc8 for 1 epoch
+The current model version has been trained on prompts using three different roles, which are denoted by the following tokens: `<|system|>`, `<|user|>` and `<|model|>`.
 
-then tuned on limarp (without ponyville, lolicit, all the fallen, and eka's portal subsets) Version 2023-09-08 for 2 epochs
+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.
 
-all metharme format
+## Training
 
-## prompting
+base model (llama-2-13b-hf)
 
-https://rentry.org/tsukasa13b - reccomended prompts and gen settings
+tuned on koishi dataset (commit c83d922) for 1 epoch
 
-The current model version has been trained on prompts using three different roles, which are denoted by the following tokens: `<|system|>`, `<|user|>` and `<|model|>`.
+then tuned on pippa dataset (commit 6412b0c) for 1 epoch
+
+then tuned on geepeetee4 dataset (commit c83d922) for 1 epoch
+
+then tuned on limarp (without ponyville, lolicit, and all the fallen subsets. Version 2023-09-14) for 2 epochs
 
-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.