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RichardErkhov/
nbeerbower_-_Bophades-BruinsMaid-7B-gguf

Name: nbeerbower_-_Bophades-BruinsMaid-7B-gguf
Availability: InStock

endpoints_compatible

gguf

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Quantization made by Richard Erkhov.

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Bophades-BruinsMaid-7B - GGUF

Model creator: https://huggingface.co/nbeerbower/
Original model: https://huggingface.co/nbeerbower/Bophades-BruinsMaid-7B/

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

Original model description:

license: apache-2.0 base_model:

SanjiWatsuki/Loyal-Toppy-Bruins-Maid-7B-DARE
nbeerbower/bophades-mistral-7B library_name: transformers tags:
mergekit
merge

BophadesBruinsMaid-7B

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

Merge Details

Merge Method

This model was merged using the SLERP merge method.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

yaml

models:
  - model: nbeerbower/bophades-mistral-7B
    layer_range: [0, 32]
  - model: SanjiWatsuki/Loyal-Toppy-Bruins-Maid-7B-DARE
    layer_range: [0, 32]
merge_method: slerp
base_model: nbeerbower/bophades-mistral-7B
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
dtype: bfloat16

RichardErkhov/nbeerbower_-_Bophades-BruinsMaid-7B-gguf