QuantFactory/Insanity-GGUF

This is quantized version of Nohobby/Insanity created using llama.cpp

Original Model Card

insanity

This is a merge of pre-trained language models created using mergekit.

Merge Details

Merge Method

This model was merged using the della_linear merge method using ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.1 as a base.

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: natong19/Mistral-Nemo-Instruct-2407-abliterated
  - model: Fizzarolli/MN-12b-Sunrose
    parameters:
      density: 0.5
      weight: [0.495, 0.165, 0.165, 0.495, 0.495, 0.165, 0.165, 0.495]
  - model: nbeerbower/mistral-nemo-gutenberg-12B-v4
    parameters:
      density: [0.35, 0.65, 0.5, 0.65, 0.35]
      weight: [-0.01891, 0.01554, -0.01325, 0.01791, -0.01458]
merge_method: dare_ties
base_model: natong19/Mistral-Nemo-Instruct-2407-abliterated
parameters:
  normalize: false
  int8_mask: true
dtype: bfloat16
name: uncen

---
models:
  - model: unsloth/Mistral-Nemo-Instruct-2407
  - model: NeverSleep/Lumimaid-v0.2-12B
    parameters:
      density: 0.5
      weight: [0.139, 0.208, 0.139, 0.208, 0.139]
  - model: nbeerbower/mistral-nemo-cc-12B
    parameters:
      density: [0.65, 0.35, 0.5, 0.35, 0.65]
      weight: [0.01823, -0.01647, 0.01422, -0.01975, 0.01128]
  - model: nbeerbower/mistral-nemo-bophades-12B
    parameters:
      density: [0.35, 0.65, 0.5, 0.65, 0.35]
      weight: [-0.01891, 0.01554, -0.01325, 0.01791, -0.01458]
merge_method: della
base_model: unsloth/Mistral-Nemo-Instruct-2407
parameters:
  epsilon: 0.04
  lambda: 1.05
  normalize: false
  int8_mask: true
dtype: bfloat16
name: conv
---
models:
  - model: unsloth/Mistral-Nemo-Base-2407
  - model: elinas/Chronos-Gold-12B-1.0
    parameters:
      density: 0.9
      gamma: 0.01
      weight: [0.139, 0.208, 0.208, 0.139, 0.139]
  - model: shuttleai/shuttle-2.5-mini
    parameters:
      density: 0.9
      gamma: 0.01
      weight: [0.208, 0.139, 0.139, 0.139, 0.208]
  - model: Epiculous/Violet_Twilight-v0.2
    parameters:
      density: 0.9
      gamma: 0.01
      weight: [0.139, 0.139, 0.208, 0.208, 0.139]
merge_method: breadcrumbs_ties
base_model: unsloth/Mistral-Nemo-Base-2407
parameters:
  normalize: false
  int8_mask: true
dtype: bfloat16
name: chatml
---
models:
  - model: ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.1
    parameters:
      weight: [0.2, 0.3, 0.2, 0.3, 0.2]
      density: [0.45, 0.55, 0.45, 0.55, 0.45]
  - model: chatml
    parameters:
      weight: [0.01768, -0.01675, 0.01285, -0.01696, 0.01421]
      density: [0.6, 0.4, 0.5, 0.4, 0.6]
  - model: uncen
    parameters:
      density: [0.6, 0.4, 0.5, 0.4, 0.6]
      weight: [0.01768, -0.01675, 0.01285, -0.01696, 0.01421]
  - model: conv
    parameters:
      weight: [0.208, 0.139, 0.139, 0.139, 0.208]
      density: [0.7]
  - model: v000000/NM-12B-Lyris-dev-3
    parameters:
      weight: [0.33]
      density: [0.45, 0.55, 0.45, 0.55, 0.45]
merge_method: della_linear
base_model: ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.1
parameters:
  epsilon: 0.04
  lambda: 1.05
  int8_mask: true
  rescale: true
  normalize: false
dtype: bfloat16
tokenizer_source: base