Create README.md

README.md

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+---
+license: cc-by-nc-4.0
+tags:
+- not-for-all-audiences
+---
+Quantized using 200 samples of 8192 tokens from an RP-oriented [PIPPA](https://huggingface.co/datasets/royallab/PIPPA-cleaned) dataset.
+
+Branches:
+- `main` -- `measurement.json`
+- `2.25b6h` -- 2.25bpw, 6bit lm_head
+- `3.5b6h` -- 3.5bpw, 6bit lm_head
+- `3.7b6h` -- 3.7bpw, 6bit lm_head
+- `6b6h` -- 6bpw, 6bit lm_head
+
+Requires ExllamaV2 version 0.0.11 and up.
+
+Original model link: [Envoid/CybersurferNyandroidLexicat-8x7B](https://huggingface.co/Envoid/CybersurferNyandroidLexicat-8x7B)
+
+Original model README below.
+
+***
+
+# Warning: This model is experimental and unpredictable
+![](https://files.catbox.moe/gvp3q3.png)
+### CybersurferNyandroidLexicat-8x7B (I was in a silly mood when I made this edition)
+Is a linear merge of the following models:
+
+[Verdict-DADA-8x7B](https://huggingface.co/Envoid/Verdict-DADA-8x7B) 60%
+
+[crestf411/daybreak-mixtral-8x7b-v1.0-hf](https://huggingface.co/crestf411/daybreak-mixtral-8x7b-v1.0-hf) 30%
+
+Experimental unreleased merge 10%
+
+I find its output as an assistant to be less dry and it is stable and imaginative in brief roleplay testing. Tested with simple sampling, requires rerolls but when it's *good* it's **good**. I can't say how well it will be when the context fills up but I was pleasantly surprised.
+
+It definitely has one of the most varied lexicons out of any Mixtral Instruct based model I've tested so far with excellent attention to detail with respect to context.
+
+### It likes Libra styled prompt formats with [INST] context [/INST] formatting
+[Which can easily be adapted from the format specified in the Libra32B repo by replacing alpaca formatting with mixtruct formatting](https://huggingface.co/Envoid/Libra-32B)
+
+
+### As always tested in Q8 (not included)