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+
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+ ---
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+
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+ base_model:
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+ - v000000/NM-12B-Lyris-dev-3
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+ - ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.1
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+ library_name: transformers
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+ tags:
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+ - mergekit
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+ - merge
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+
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+
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+ ---
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+
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+ [![QuantFactory Banner](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeiuCm7c8lEwEJuRey9kiVZsRn2W-b4pWlu3-X534V3YmVuVc2ZL-NXg2RkzSOOS2JXGHutDuyyNAUtdJI65jGTo8jT9Y99tMi4H4MqL44Uc5QKG77B0d6-JfIkZHFaUA71-RtjyYZWVIhqsNZcx8-OMaA?key=xt3VSDoCbmTY7o-cwwOFwQ)](https://hf.co/QuantFactory)
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+
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+
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+ # QuantFactory/Insanity-GGUF
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+ This is quantized version of [Nohobby/Insanity](https://huggingface.co/Nohobby/Insanity) created using llama.cpp
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+
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+ # Original Model Card
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+
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+ # insanity
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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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+
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+ ## Merge Details
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+ ### Merge Method
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+
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+ This model was merged using the della_linear merge method using [ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.1](https://huggingface.co/ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.1) as a base.
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+
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+ ### Configuration
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+
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+ The following YAML configuration was used to produce this model:
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+
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+ ```yaml
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+ models:
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+ - model: natong19/Mistral-Nemo-Instruct-2407-abliterated
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+ - model: Fizzarolli/MN-12b-Sunrose
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+ parameters:
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+ density: 0.5
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+ weight: [0.495, 0.165, 0.165, 0.495, 0.495, 0.165, 0.165, 0.495]
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+ - model: nbeerbower/mistral-nemo-gutenberg-12B-v4
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+ parameters:
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+ density: [0.35, 0.65, 0.5, 0.65, 0.35]
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+ weight: [-0.01891, 0.01554, -0.01325, 0.01791, -0.01458]
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+ merge_method: dare_ties
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+ base_model: natong19/Mistral-Nemo-Instruct-2407-abliterated
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+ parameters:
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+ normalize: false
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+ int8_mask: true
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+ dtype: bfloat16
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+ name: uncen
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+
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+ ---
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+ models:
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+ - model: unsloth/Mistral-Nemo-Instruct-2407
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+ - model: NeverSleep/Lumimaid-v0.2-12B
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+ parameters:
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+ density: 0.5
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+ weight: [0.139, 0.208, 0.139, 0.208, 0.139]
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+ - model: nbeerbower/mistral-nemo-cc-12B
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+ parameters:
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+ density: [0.65, 0.35, 0.5, 0.35, 0.65]
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+ weight: [0.01823, -0.01647, 0.01422, -0.01975, 0.01128]
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+ - model: nbeerbower/mistral-nemo-bophades-12B
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+ parameters:
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+ density: [0.35, 0.65, 0.5, 0.65, 0.35]
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+ weight: [-0.01891, 0.01554, -0.01325, 0.01791, -0.01458]
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+ merge_method: della
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+ base_model: unsloth/Mistral-Nemo-Instruct-2407
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+ parameters:
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+ epsilon: 0.04
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+ lambda: 1.05
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+ normalize: false
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+ int8_mask: true
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+ dtype: bfloat16
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+ name: conv
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+ ---
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+ models:
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+ - model: unsloth/Mistral-Nemo-Base-2407
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+ - model: elinas/Chronos-Gold-12B-1.0
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+ parameters:
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+ density: 0.9
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+ gamma: 0.01
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+ weight: [0.139, 0.208, 0.208, 0.139, 0.139]
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+ - model: shuttleai/shuttle-2.5-mini
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+ parameters:
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+ density: 0.9
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+ gamma: 0.01
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+ weight: [0.208, 0.139, 0.139, 0.139, 0.208]
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+ - model: Epiculous/Violet_Twilight-v0.2
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+ parameters:
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+ density: 0.9
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+ gamma: 0.01
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+ weight: [0.139, 0.139, 0.208, 0.208, 0.139]
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+ merge_method: breadcrumbs_ties
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+ base_model: unsloth/Mistral-Nemo-Base-2407
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+ parameters:
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+ normalize: false
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+ int8_mask: true
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+ dtype: bfloat16
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+ name: chatml
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+ ---
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+ models:
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+ - model: ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.1
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+ parameters:
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+ weight: [0.2, 0.3, 0.2, 0.3, 0.2]
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+ density: [0.45, 0.55, 0.45, 0.55, 0.45]
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+ - model: chatml
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+ parameters:
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+ weight: [0.01768, -0.01675, 0.01285, -0.01696, 0.01421]
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+ density: [0.6, 0.4, 0.5, 0.4, 0.6]
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+ - model: uncen
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+ parameters:
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+ density: [0.6, 0.4, 0.5, 0.4, 0.6]
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+ weight: [0.01768, -0.01675, 0.01285, -0.01696, 0.01421]
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+ - model: conv
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+ parameters:
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+ weight: [0.208, 0.139, 0.139, 0.139, 0.208]
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+ density: [0.7]
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+ - model: v000000/NM-12B-Lyris-dev-3
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+ parameters:
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+ weight: [0.33]
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+ density: [0.45, 0.55, 0.45, 0.55, 0.45]
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+ merge_method: della_linear
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+ base_model: ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.1
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+ parameters:
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+ epsilon: 0.04
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+ lambda: 1.05
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+ int8_mask: true
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+ rescale: true
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+ normalize: false
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+ dtype: bfloat16
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+ tokenizer_source: base
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+ ```
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+