Create README.md

README.md

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+---
+base_model: []
+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
+- `6b6h` -- 6bpw, 6bit lm_head
+
+
+Requires ExllamaV2 version 0.0.12 and up.
+
+Original model link: [rAIfle/0x01-7x8b-hf](https://huggingface.co/rAIfle/0x01-7x8b-hf)
+
+Original model README below.
+
+***
+# 0x01-7x8B-hf
+
+![grinning female android, cyberpunk, robotic, biomechanical, serial number "0x01"](https://files.catbox.moe/je2zar.png)
+
+here we go again. multi-step merge, various models involved at various ratios with various methods. 
+
+this thing came to me in a fever dream when I was hung over, but after slightly tweaking the recipe it turned out surprisingly decent. using with the settings included.
+
+## Constituent parts
+```yaml
+# primordial_slop_a:
+  - model: mistralai/Mixtral-8x7B-v0.1+retrieval-bar/Mixtral-8x7B-v0.1_case-briefs
+  - model: mistralai/Mixtral-8x7B-v0.1+SeanWu25/Mixtral_8x7b_Medicine
+  - model: mistralai/Mixtral-8x7B-v0.1+SeanWu25/Mixtral_8x7b_WuKurtz
+  - model: mistralai/Mixtral-8x7B-v0.1+Epiculous/crunchy-onion-lora
+  - model: mistralai/Mixtral-8x7B-v0.1+maxkretchmer/gc-mixtral
+# primordial_slop_b:
+  - model: Envoid/Mixtral-Instruct-ITR-8x7B
+  - model: crestf411/daybreak-mixtral-8x7b-v1.0-hf
+  - model: NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO
+  - model: orangetin/OpenHermes-Mixtral-8x7B
+  - model: mistralai/Mixtral-8x7B-Instruct-v0.1+idegroup/PhyAssistant
+  - model: ycros/crunchy-onion-nx
+  - model: jondurbin/bagel-dpo-8x7b-v0.2
+  - model: amoldwalunj/Mixtral-8x7B-Instruct-v0.1-legal_finetune_mixtral_32k
+# primordial_slop_c: a+b
+# primordial_slop_d:
+  - model: Sao10K/Sensualize-Mixtral-bf16
+  - model: Envoid/Mixtral-Instruct-ITR-DADA-8x7B
+```
+
+# mergekit
+
+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 SLERP merge method.
+
+### Models Merged
+
+The following models were included in the merge:
+* ./primordial_slop_d
+* ./primordial_slop_c
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+models:
+  - model: ./primordial_slop_c
+  - model: ./primordial_slop_d
+merge_method: slerp
+base_model: ./primordial_slop_c
+parameters:
+  t:
+    - value: 0.33
+dtype: float16
+
+```