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README.md

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+Quantization made by Richard Erkhov.
+
+[Github](https://github.com/RichardErkhov)
+
+[Discord](https://discord.gg/pvy7H8DZMG)
+
+[Request more models](https://github.com/RichardErkhov/quant_request)
+
+
+Buttocks-7B-v1.1 - bnb 8bits
+- Model creator: https://huggingface.co/TeeZee/
+- Original model: https://huggingface.co/TeeZee/Buttocks-7B-v1.1/
+
+
+
+
+Original model description:
+---
+license: cc-by-nc-4.0
+tags:
+- not-for-all-audiences
+- merge
+model-index:
+- name: Buttocks-7B-v1.1
+  results:
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: AI2 Reasoning Challenge (25-Shot)
+      type: ai2_arc
+      config: ARC-Challenge
+      split: test
+      args:
+        num_few_shot: 25
+    metrics:
+    - type: acc_norm
+      value: 54.61
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TeeZee/Buttocks-7B-v1.1
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: HellaSwag (10-Shot)
+      type: hellaswag
+      split: validation
+      args:
+        num_few_shot: 10
+    metrics:
+    - type: acc_norm
+      value: 75.61
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TeeZee/Buttocks-7B-v1.1
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MMLU (5-Shot)
+      type: cais/mmlu
+      config: all
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 50.22
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TeeZee/Buttocks-7B-v1.1
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: TruthfulQA (0-shot)
+      type: truthful_qa
+      config: multiple_choice
+      split: validation
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: mc2
+      value: 44.72
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TeeZee/Buttocks-7B-v1.1
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: Winogrande (5-shot)
+      type: winogrande
+      config: winogrande_xl
+      split: validation
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 68.9
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TeeZee/Buttocks-7B-v1.1
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: GSM8k (5-shot)
+      type: gsm8k
+      config: main
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 5.76
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TeeZee/Buttocks-7B-v1.1
+      name: Open LLM Leaderboard
+---
+
+### Buttocks 7B v1.1 ###
+
+An experiment that has gone very, very wrong.
+
+### Model details ###
+
+- Recreation of the original recipe for [Undi95/Toppy-M-7B](https://huggingface.co/Undi95/Toppy-M-7B), but instead of final merge done by mergekit, [MergeMoster](https://github.com/Gryphe/MergeMonster/) was used with extended RPG preset.
+- recipe in [mergekit-config](https://huggingface.co/TeeZee/Toppy-7B-remake-mergemonster-SLERP-v1.0/resolve/main/toppy-slerp-merge-config.yml), stepsAA, BB, CC are the original models with LORAS as per Toppy M 7B sauce.
+- LERP merge method was used
+  
+### Results ###
+
+- in simple terms this model is totally unhinged
+- it always produces sequences similar to fever dreams or drug trips
+- on a good day it can produce scenarios similar to old Monty Python sketches
+- models shows incredible affinity to words like 'ass', 'buttocks', 'farts', prompting with those single words will probably
+  produce a whole story revolving around those topics.
+
+### Possible uses ###
+
+- to generate dream sequence in a story
+- to make the boring model more unpredictable by merging at low weights with this monster
+- to take a break, connect Silly Tavern to this model and get a few ROTFLs observing how every story deteriorates into pure craziness
+- research on LLM hallucinations
+# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
+Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_TeeZee__Buttocks-7B-v1.1)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |49.97|
+|AI2 Reasoning Challenge (25-Shot)|54.61|
+|HellaSwag (10-Shot)              |75.61|
+|MMLU (5-Shot)                    |50.22|
+|TruthfulQA (0-shot)              |44.72|
+|Winogrande (5-shot)              |68.90|
+|GSM8k (5-shot)                   | 5.76|
+
+
+