Update README.md

README.md

@@ -1,16 +1,26 @@
 ---
-base_model: []
+base_model:
+- grimjim/kukulemon-7B
+- Nitral-AI/Kunocchini-7b-128k-test
 library_name: transformers
 tags:
 - mergekit
 - merge
+- mistral
+- alpaca
 license: cc-by-nc-4.0
 ---
-# Kunokukulemonchini-7b
 
-This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+# Kunokukulemonchini-7b-7.1bpw-exl2
+
+This is an 7.1 bpw exl2 quant of a merger [icefog72/Kunokukulemonchini-7b](https://huggingface.co/icefog72/Kunokukulemonchini-7b). 
+
+I wanted to replicate what IceFog did with 6GB cards, looking for long context and quality but scaling it to 8GB cards. 
+
+Works great for people with 8GB of vram who are looking for both long context and quality. 
+
+With a 4060 8GB i end up getting 16k context and better quality responces compared to the 6.5bpw version.
 
-Here is an 4.1bpw exl2 quant [Kunokukulemonchini-7b-4.1bpw-exl2](https://huggingface.co/icefog72/Kunokukulemonchini-7b-4.1bpw-exl2) for people like me with 6gb vram.
 ## Merge Details
 
 Slightly edited kukulemon-7B config.json before merge to get at least ~32k context window.