InferenceIllusionist
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README.md
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---
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base_model: []
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tags:
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- gguf
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---
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# Sloppy-Wingman-8x7B-GGUF
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Quantized from fp16 with love.
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Uploading Q5_K_M for starters, other sizes available upon request.
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See original model card details below.
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---
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# Sloppy-Wingman-8x7B-hf
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![Sloppy Wingman](https://files.catbox.moe/7ay3me.png)
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Big slop, good model.
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Running better at slightly higher temp (1.1-ish) than usual, along with 0.05 MinP and 0.28 snoot.
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Bog-standard ChatML works best imo, but Alpaca and Mixtral formats work (to some degree) too.
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Parts:
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```yaml
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models:
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- model: mistralai/Mixtral-8x7B-v0.1+retrieval-bar/Mixtral-8x7B-v0.1_case-briefs
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parameters:
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weight: 0.33
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- model: mistralai/Mixtral-8x7B-v0.1+wandb/Mixtral-8x7b-Remixtral
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parameters:
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weight: 0.33
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merge_method: task_arithmetic
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base_model: mistralai/Mixtral-8x7B-v0.1
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dtype: float16
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```
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and
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```yaml
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models:
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- model: mistralai/Mixtral-8x7B-Instruct-v0.1+/ai/LLM/tmp/pefts/daybreak-peft/mixtral-8x7b
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parameters:
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weight: 0.85
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- model: notstoic/Nous-Hermes-2-Mixtruct-v0.1-8x7B-DPO-DARE_TIES
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parameters:
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weight: 0.25
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- model: ycros/BagelWorldTour-8x7B
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parameters:
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weight: 0.1
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merge_method: task_arithmetic
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base_model: mistralai/Mixtral-8x7B-Instruct-v0.1
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dtype: float16
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```
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SLERP:ed together as per below.
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---
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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## Merge Details
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### Merge Method
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This model was merged using the SLERP merge method.
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### Models Merged
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The following models were included in the merge:
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* ./02-friend2-instruct
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* ./01-friend2-base
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### Configuration
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The following YAML configuration was used to produce this model:
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```yaml
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models:
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- model: ./01-friend2-base
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- model: ./02-friend2-instruct
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merge_method: slerp
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base_model: ./01-friend2-base
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parameters:
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t:
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- value: 0.5
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dtype: float16
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```
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```yaml
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models:
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- model: ./temp-output-base
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- model: ./temp-output-instruct
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merge_method: slerp
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base_model: ./temp-output-base
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parameters:
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t:
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- value: 0.5
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dtype: float16
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```
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