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RichardErkhov/
eldogbbhed_-_NeuralMonarchCoderPearlBeagle-T3Q-Mistral-Orca-Math-DPO-7b-gguf

Name: eldogbbhed_-_NeuralMonarchCoderPearlBeagle-T3Q-Mistral-Orca-Math-DPO-7b-gguf
Availability: InStock

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Quantization made by Richard Erkhov.

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NeuralMonarchCoderPearlBeagle-T3Q-Mistral-Orca-Math-DPO-7b - GGUF

Model creator: https://huggingface.co/eldogbbhed/
Original model: https://huggingface.co/eldogbbhed/NeuralMonarchCoderPearlBeagle-T3Q-Mistral-Orca-Math-DPO-7b/

Name	Quant method	Size
NeuralMonarchCoderPearlBeagle-T3Q-Mistral-Orca-Math-DPO-7b.Q2_K.gguf	Q2_K	2.53GB
NeuralMonarchCoderPearlBeagle-T3Q-Mistral-Orca-Math-DPO-7b.IQ3_XS.gguf	IQ3_XS	2.81GB
NeuralMonarchCoderPearlBeagle-T3Q-Mistral-Orca-Math-DPO-7b.IQ3_S.gguf	IQ3_S	2.96GB
NeuralMonarchCoderPearlBeagle-T3Q-Mistral-Orca-Math-DPO-7b.Q3_K_S.gguf	Q3_K_S	2.95GB
NeuralMonarchCoderPearlBeagle-T3Q-Mistral-Orca-Math-DPO-7b.IQ3_M.gguf	IQ3_M	3.06GB
NeuralMonarchCoderPearlBeagle-T3Q-Mistral-Orca-Math-DPO-7b.Q3_K.gguf	Q3_K	3.28GB
NeuralMonarchCoderPearlBeagle-T3Q-Mistral-Orca-Math-DPO-7b.Q3_K_M.gguf	Q3_K_M	3.28GB
NeuralMonarchCoderPearlBeagle-T3Q-Mistral-Orca-Math-DPO-7b.Q3_K_L.gguf	Q3_K_L	3.56GB
NeuralMonarchCoderPearlBeagle-T3Q-Mistral-Orca-Math-DPO-7b.IQ4_XS.gguf	IQ4_XS	3.67GB
NeuralMonarchCoderPearlBeagle-T3Q-Mistral-Orca-Math-DPO-7b.Q4_0.gguf	Q4_0	3.83GB
NeuralMonarchCoderPearlBeagle-T3Q-Mistral-Orca-Math-DPO-7b.IQ4_NL.gguf	IQ4_NL	3.87GB
NeuralMonarchCoderPearlBeagle-T3Q-Mistral-Orca-Math-DPO-7b.Q4_K_S.gguf	Q4_K_S	3.86GB
NeuralMonarchCoderPearlBeagle-T3Q-Mistral-Orca-Math-DPO-7b.Q4_K.gguf	Q4_K	4.07GB
NeuralMonarchCoderPearlBeagle-T3Q-Mistral-Orca-Math-DPO-7b.Q4_K_M.gguf	Q4_K_M	4.07GB
NeuralMonarchCoderPearlBeagle-T3Q-Mistral-Orca-Math-DPO-7b.Q4_1.gguf	Q4_1	4.24GB
NeuralMonarchCoderPearlBeagle-T3Q-Mistral-Orca-Math-DPO-7b.Q5_0.gguf	Q5_0	4.65GB
NeuralMonarchCoderPearlBeagle-T3Q-Mistral-Orca-Math-DPO-7b.Q5_K_S.gguf	Q5_K_S	4.65GB
NeuralMonarchCoderPearlBeagle-T3Q-Mistral-Orca-Math-DPO-7b.Q5_K.gguf	Q5_K	4.78GB
NeuralMonarchCoderPearlBeagle-T3Q-Mistral-Orca-Math-DPO-7b.Q5_K_M.gguf	Q5_K_M	4.78GB
NeuralMonarchCoderPearlBeagle-T3Q-Mistral-Orca-Math-DPO-7b.Q5_1.gguf	Q5_1	5.07GB
NeuralMonarchCoderPearlBeagle-T3Q-Mistral-Orca-Math-DPO-7b.Q6_K.gguf	Q6_K	5.53GB
NeuralMonarchCoderPearlBeagle-T3Q-Mistral-Orca-Math-DPO-7b.Q8_0.gguf	Q8_0	7.17GB

Original model description:

license: cc-by-nc-4.0 tags:

merge
mergekit
vortexmergekit
chihoonlee10/T3Q-Mistral-Orca-Math-DPO
eldogbbhed/NeuralMonarchCoderPearlBeagle

NeuralMonarchCoderPearlBeagle-T3Q-Mistral-Orca-Math-DPO-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:

🧩 Configuration

yaml

models:
  - model: mlabonne/NeuralBeagle14-7B
    # no parameters necessary for base model
  - model: chihoonlee10/T3Q-Mistral-Orca-Math-DPO
    parameters:
      density: 0.5
      weight: 0.5
  - model: eldogbbhed/NeuralMonarchCoderPearlBeagle
    parameters:
      density: 0.5
      weight: 0.3
merge_method: ties
base_model: mlabonne/NeuralBeagle14-7B
parameters:
  normalize: true
  int8_mask: true
dtype: float16

RichardErkhov/eldogbbhed_-_NeuralMonarchCoderPearlBeagle-T3Q-Mistral-Orca-Math-DPO-7b-gguf

Original model description:

NeuralMonarchCoderPearlBeagle-T3Q-Mistral-Orca-Math-DPO-7b

🧩 Configuration

RichardErkhov/
eldogbbhed_-_NeuralMonarchCoderPearlBeagle-T3Q-Mistral-Orca-Math-DPO-7b-gguf