Create README.md

README.md

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+---
+base_model:
+- jondurbin/bagel-dpo-8x7b-v0.2
+- mistralai/Mixtral-8x7B-v0.1
+- Sao10K/Sensualize-Mixtral-bf16
+- mistralai/Mixtral-8x7B-v0.1
+- Doctor-Shotgun/limarp-zloss-mixtral-8x7b-qlora
+- mistralai/Mixtral-8x7B-Instruct-v0.1
+tags:
+- mergekit
+- merge
+
+---
+
+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
+- `5b6h` -- 5bpw, 6bit lm_head
+- `6b6h` -- 6bpw, 6bit lm_head
+
+
+Requires ExllamaV2 version 0.0.12 and up.
+
+Original model link: [Envoid/Fish-8x7B](https://huggingface.co/Envoid/Fish-8x7B)
+
+Original model README below.
+
+***
+# BagelWorldTour
+
+Requested by [kalomaze](https://huggingface.co/kalomaze)
+
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+
+## Merge Details
+### Merge Method
+
+This model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [mistralai/Mixtral-8x7B-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-v0.1) as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* [jondurbin/bagel-dpo-8x7b-v0.2](https://huggingface.co/jondurbin/bagel-dpo-8x7b-v0.2)
+* [Sao10K/Sensualize-Mixtral-bf16](https://huggingface.co/Sao10K/Sensualize-Mixtral-bf16)
+* [mistralai/Mixtral-8x7B-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-v0.1) + [Doctor-Shotgun/limarp-zloss-mixtral-8x7b-qlora](https://huggingface.co/Doctor-Shotgun/limarp-zloss-mixtral-8x7b-qlora)
+* [mistralai/Mixtral-8x7B-Instruct-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+base_model: mistralai/Mixtral-8x7B-v0.1
+models:
+  - model: mistralai/Mixtral-8x7B-v0.1+Doctor-Shotgun/limarp-zloss-mixtral-8x7b-qlora
+    parameters:
+      density: 0.5
+      weight: 0.1
+  - model: Sao10K/Sensualize-Mixtral-bf16
+    parameters:
+      density: 0.5
+      weight: 0.1
+  - model: mistralai/Mixtral-8x7B-Instruct-v0.1
+    parameters:
+      density: 0.66
+      weight: 1.0
+  - model: jondurbin/bagel-dpo-8x7b-v0.2
+    parameters:
+      density: 0.66
+      weight: 0.5
+merge_method: dare_ties
+dtype: bfloat16
+
+```
+