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eldogbbhed_-_NeuralMonarchCoderPearlBeagle-T3Q-Mistral-Orca-Math-DPO-7b-gguf
RichardErkhov/eldogbbhed_-_NeuralMonarchCoderPearlBeagle-T3Q-Mistral-Orca-Math-DPO-7b-gguf
eldogbbhed_-_NeuralMonarchCoderPearlBeagle-T3Q-Mistral-Orca-Math-DPO-7b-gguf is a machine learning model from RichardErkhov. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
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At a glance
- Access
- Public
- Created
- Sep 14, 2024
- Updated
- Sep 14, 2024
- SHA
- 6d2a8cff
Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
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/
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
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
- Created
- Sep 14, 2024
- Updated
- Sep 14, 2024