You can deploy this model and start earning money today!

RichardErkhov/
Azazelle_-_Mocha-Sample-7b-ex-gguf

Name: Azazelle_-_Mocha-Sample-7b-ex-gguf
Availability: InStock

endpoints_compatible

gguf

template

Views

No views yet

Quantization made by Richard Erkhov.

Github

Discord

Request more models

Mocha-Sample-7b-ex - GGUF

Model creator: https://huggingface.co/Azazelle/
Original model: https://huggingface.co/Azazelle/Mocha-Sample-7b-ex/

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

Original model description:

pipeline_tag: text-generation base_model:

mistralai/Mistral-7B-v0.1
WizardLM/WizardMath-7B-V1.1
akjindal53244/Mistral-7B-v0.1-Open-Platypus
Open-Orca/Mistral-7B-OpenOrca library_name: transformers tags:
mergekit
merge license: cc-by-4.0

Moko-Sample-7b-ex

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

Merge Details

Merge Method

This model was merged using the sample_ties merge method using mistralai/Mistral-7B-v0.1 as a base.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

yaml

models:
  - model: Open-Orca/Mistral-7B-OpenOrca
    parameters:
      density: [1, 0.7, 0.1] # density gradient
      weight: 1.0
  - model: akjindal53244/Mistral-7B-v0.1-Open-Platypus
    parameters:
      density: 0.5
      weight: [0, 0.3, 0.7, 1] # weight gradient
  - model: WizardLM/WizardMath-7B-V1.1
    parameters:
      density: 0.33
      weight:
        - filter: mlp
          value: 0.5
        - value: 0
merge_method: sample_ties
base_model: mistralai/Mistral-7B-v0.1
parameters:
  int8_mask: true
dtype: float16

RichardErkhov/Azazelle_-_Mocha-Sample-7b-ex-gguf