Update README.md

README.md

@@ -8,7 +8,9 @@ license: apache-2.0
 
 # Model Card for Capybara-Finnish-V1-8B
 
-This is a merge of [mpasila/Capybara-Finnish-V1-8B-LoRA](https://huggingface.co/mpasila/Capybara-Finnish-V1-8B-LoRA/). Base model used: [mpasila/gpt3-finnish-8B-gptq-4bit](https://huggingface.co/mpasila/gpt3-finnish-8B-gptq-4bit/) and the original unquantized model: [TurkuNLP/gpt3-finnish-8B](https://huggingface.co/TurkuNLP/gpt3-finnish-8B/). Dataset used with the LoRA is [Finnish-NLP/Capybara-fi-deepl-translated-sft](https://huggingface.co/datasets/Finnish-NLP/Capybara-fi-deepl-translated-sft/) with some modifications so it uses Alpaca formatting [modified dataset](https://huggingface.co/datasets/mpasila/Capybara-fi-deepl-translated-sft-alpaca/).
+This is a merge of [mpasila/Capybara-Finnish-V1-8B-LoRA](https://huggingface.co/mpasila/Capybara-Finnish-V1-8B-LoRA/).
+
+Base model used: [mpasila/gpt3-finnish-8B-gptq-4bit](https://huggingface.co/mpasila/gpt3-finnish-8B-gptq-4bit/) and the original unquantized model: [TurkuNLP/gpt3-finnish-8B](https://huggingface.co/TurkuNLP/gpt3-finnish-8B/). Dataset used with the LoRA is [Finnish-NLP/Capybara-fi-deepl-translated-sft](https://huggingface.co/datasets/Finnish-NLP/Capybara-fi-deepl-translated-sft/) with some modifications so it uses Alpaca formatting [modified dataset](https://huggingface.co/datasets/mpasila/Capybara-fi-deepl-translated-sft-alpaca/).
 
 It uses Alpaca format but with a translated instruction at the start:
 ```
@@ -19,7 +21,7 @@ It uses Alpaca format but with a translated instruction at the start:
 
 ```
 
-Merged using this [Colab notebook](https://colab.research.google.com/drive/1a76Y21GfPtmVs71Uztlgk2xzPA4_vVjs?usp=sharing).
+Merged using this [Colab notebook](https://colab.research.google.com/drive/1a76Y21GfPtmVs71Uztlgk2xzPA4_vVjs?usp=sharing). It might not be the best way to merge a quantized LoRA on to a float16 model but I just wanted to quickly do something. You can try merging it better if you want.
 
 ### Framework versions