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RichardErkhov/
eldogbbhed_-_NeuralKrishnaMathWizard-7B-gguf

Name: eldogbbhed_-_NeuralKrishnaMathWizard-7B-gguf
Availability: InStock

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gguf

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NeuralKrishnaMathWizard-7B - GGUF

Model creator: https://huggingface.co/eldogbbhed/
Original model: https://huggingface.co/eldogbbhed/NeuralKrishnaMathWizard-7B/

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

Original model description:

license: apache-2.0 tags:

merge
mergekit
vortexmergekit
Kukedlc/NeuralSirKrishna-7b
WizardLM/WizardMath-7B-V1.1

NeuralKrishnaMathWizard-7B

Hey there! 👋 Welcome to the NeuralKrishnaMathWizard-7B! This is a merge of multiple models brought together using the awesome VortexMerge kit.

Let's see what we've got in this merge:

Kukedlc/NeuralSirKrishna-7b 🚀
WizardLM/WizardMath-7B-V1.1 🚀

🧩 Configuration

yaml

models:
  - model: Kukedlc/NeuralSirKrishna-7b
    parameters:
      density: 0.9
      weight: 0.5
  - model: WizardLM/WizardMath-7B-V1.1
    parameters:
      density: 0.5
      weight: 0.5
merge_method: ties
base_model: Kukedlc/NeuralSirKrishna-7b
parameters:
  normalize: true
  int8_mask: true
dtype: float16

RichardErkhov/eldogbbhed_-_NeuralKrishnaMathWizard-7B-gguf

Original model description:

NeuralKrishnaMathWizard-7B

🧩 Configuration

RichardErkhov/
eldogbbhed_-_NeuralKrishnaMathWizard-7B-gguf