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RichardErkhov/
Nekochu_-_Confluence-Renegade-7B-gguf

Name: Nekochu_-_Confluence-Renegade-7B-gguf
Availability: InStock

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Confluence-Renegade-7B - GGUF

Model creator: https://huggingface.co/Nekochu/
Original model: https://huggingface.co/Nekochu/Confluence-Renegade-7B/

Name	Quant method	Size
Confluence-Renegade-7B.Q2_K.gguf	Q2_K	2.53GB
Confluence-Renegade-7B.IQ3_XS.gguf	IQ3_XS	2.81GB
Confluence-Renegade-7B.IQ3_S.gguf	IQ3_S	2.96GB
Confluence-Renegade-7B.Q3_K_S.gguf	Q3_K_S	2.95GB
Confluence-Renegade-7B.IQ3_M.gguf	IQ3_M	3.06GB
Confluence-Renegade-7B.Q3_K.gguf	Q3_K	3.28GB
Confluence-Renegade-7B.Q3_K_M.gguf	Q3_K_M	3.28GB
Confluence-Renegade-7B.Q3_K_L.gguf	Q3_K_L	3.56GB
Confluence-Renegade-7B.IQ4_XS.gguf	IQ4_XS	3.67GB
Confluence-Renegade-7B.Q4_0.gguf	Q4_0	3.83GB
Confluence-Renegade-7B.IQ4_NL.gguf	IQ4_NL	3.87GB
Confluence-Renegade-7B.Q4_K_S.gguf	Q4_K_S	3.86GB
Confluence-Renegade-7B.Q4_K.gguf	Q4_K	4.07GB
Confluence-Renegade-7B.Q4_K_M.gguf	Q4_K_M	4.07GB
Confluence-Renegade-7B.Q4_1.gguf	Q4_1	4.24GB
Confluence-Renegade-7B.Q5_0.gguf	Q5_0	4.65GB
Confluence-Renegade-7B.Q5_K_S.gguf	Q5_K_S	4.65GB
Confluence-Renegade-7B.Q5_K.gguf	Q5_K	4.78GB
Confluence-Renegade-7B.Q5_K_M.gguf	Q5_K_M	4.78GB
Confluence-Renegade-7B.Q5_1.gguf	Q5_1	5.07GB
Confluence-Renegade-7B.Q6_K.gguf	Q6_K	5.53GB
Confluence-Renegade-7B.Q8_0.gguf	Q8_0	7.17GB

Original model description:

license: apache-2.0 base_model:

localfultonextractor/Erosumika-7B
Nitral-AI/Infinitely-Laydiculous-7B
Kunocchini-7b-128k-test
Endevor/EndlessRP-v3-7B
ChaoticNeutrals/BuRP_7B
daybreak-kunoichi-2dpo-7b library_name: transformers tags:
mergekit
merge

My first merge of RP models 7B using mergekit, They are just r/ trend RP, half is BuRP_7B. not used any, Dumb merge but hopfully lucky merge! ^^'

Update 03/2024:

Original model Card Confluence-Renegade-7B [8.0bpw-exl]
Added Model and merge recipe branch: Confluence-Renegade-7B-v2
Added Model and merge recipe branch: RoleBeagle-Moistral-11B-v2 [7B truncated] and Quants RoleBeagle-Moistral-11B-v2-2.4bpw-h6-exl2, 4.25bpw-h6, 8.0bpw-h8
Added Branch: Confluence-Shortcake-20B Model recipes and Quants here Confluence-Shortcake-20B-2.4bpw-h6-exl2, 4.25bpw-h6, 8.0bpw-h8

Name symbolize by Confluence for many unique RP model with Renegade mostly come from no-guardrail.

Download branch instructions

git clone --single-branch --branch Confluence-Shortcake-20B-2.4bpw-h6-exl2 https://huggingface.co/Nekochu/Confluence-Renegade-7B

Configuration Confluence-Renegade-7B

The following YAML configuration was used to produce this model:

yaml

models:
  - model: ./modela/Erosumika-7B
    parameters:
      density: [1, 0.8, 0.6]
      weight: 0.2
  - model: ./modela/Infinitely-Laydiculous-7B
    parameters:
      density: [0.9, 0.7, 0.5]
      weight: 0.2
  - model: ./modela/Kunocchini-7b-128k-test
    parameters:
      density: [0.8, 0.6, 0.4]
      weight: 0.2
  - model: ./modela/EndlessRP-v3-7B
    parameters:
      density: [0.7, 0.5, 0.3]
      weight: 0.2
  - model: ./modela/daybreak-kunoichi-2dpo-7b
    parameters:
      density: [0.5, 0.3, 0.1]
      weight: 0.2
merge_method: dare_linear
base_model: ./modela/Mistral-7B-v0.1
parameters:
  normalize: true
  int8_mask: true
dtype: bfloat16
name: intermediate-model
---
slices:
  - sources:
      - model: intermediate-model
        layer_range: [0, 32]
      - model: ./modela/BuRP_7B
        layer_range: [0, 32]
merge_method: slerp
base_model: intermediate-model
parameters:
  t:
    - filter: self_attn
      value: [0, 0.5, 0.3, 0.7, 1]
    - filter: mlp
      value: [1, 0.5, 0.7, 0.3, 0]
    - value: 0.5 # fallback for rest of tensors
dtype: bfloat16
name: gradient-slerp

mergekit-mega config.yml ./output-model-directory --cuda --allow-crimes --lazy-unpickle

Models Merged Confluence-Renegade-7B

The following models were included in the merge:

RichardErkhov/Nekochu_-_Confluence-Renegade-7B-gguf