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+ ---
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+ license: llama2
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+ language:
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+ - en
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+ tags:
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+ - mistral
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+ library_name: transformers
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+ pipeline_tag: text-generation
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+ mergekit:
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+ - Weyaxi/OpenHermes-2.5-neural-chat-v3-3-openchat-3.5-1210-Slerp
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+ - uukuguy/speechless-mistral-six-in-one-7b
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+ datasets:
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+ - stingning/ultrachat
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+ - garage-bAInd/Open-Platypus
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+ - Open-Orca/OpenOrca
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+ - TIGER-Lab/MathInstruct
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+ - OpenAssistant/oasst_top1_2023-08-25
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+ - teknium/openhermes
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+ - meta-math/MetaMathQA
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+ - Open-Orca/SlimOrca
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+
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+ ---
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+
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+ <p align="center">
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+ <img src="https://codeberg.org/aninokuma/DeydooAssistant/raw/branch/main/logo.webp" height="256px" alt="SynthIQ">
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+ </p>
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+
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+ # SynthIQ
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+
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+ This is SynthIQ, rated 92.23/100 by GPT-4 across varied complex prompts. I used [mergekit](https://github.com/cg123/mergekit) to merge models.
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+
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+
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+ # Yaml Config
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+
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+ ```yaml
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+
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+ slices:
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+ - sources:
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+ - model: Weyaxi/OpenHermes-2.5-neural-chat-v3-3-openchat-3.5-1210-Slerp
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+ layer_range: [0, 32]
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+ - model: uukuguy/speechless-mistral-six-in-one-7b
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+ layer_range: [0, 32]
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+
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+ merge_method: slerp
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+ base_model: mistralai/Mistral-7B-v0.1
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+
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+ parameters:
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+ t:
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+ - filter: self_attn
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+ value: [0, 0.5, 0.3, 0.7, 1]
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+ - filter: mlp
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+ value: [1, 0.5, 0.7, 0.3, 0]
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+ - value: 0.5 # fallback for rest of tensors
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+ tokenizer_source: union
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+
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+ dtype: bfloat16
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+
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+ ```
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+
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+ <!-- prompt-template start -->
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+ ## Prompt template: ChatML
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+
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+ ```
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+ <|im_start|>system
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+ {system_message}<|im_end|>
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+ <|im_start|>user
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+ {prompt}<|im_end|>
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+ <|im_start|>assistant
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+
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+ ```
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+
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+ <!-- prompt-template end -->
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+
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+ License is LLama2 license as uukuguy/speechless-mistral-six-in-one-7b is llama2 license.