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Weyaxi_-_MetaMath-Tulpar-7b-v2-Slerp-gguf
RichardErkhov/Weyaxi_-_MetaMath-Tulpar-7b-v2-Slerp-gguf
Weyaxi_-_MetaMath-Tulpar-7b-v2-Slerp-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
- May 10, 2024
- Updated
- May 10, 2024
- SHA
- e6093d64
Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
MetaMath-Tulpar-7b-v2-Slerp - GGUF
- Model creator: https://huggingface.co/Weyaxi/
- Original model: https://huggingface.co/Weyaxi/MetaMath-Tulpar-7b-v2-Slerp/
Original model description:
license: apache-2.0 tags:
- merge
MetaMath-Tulpar-7b-v2-Slerp
This is the model for MetaMath-Tulpar-7b-v2-Slerp. I used mergekit to merge models.
Yaml Config to reproduce
slices:
- sources:
- model: meta-math/MetaMath-Mistral-7B
layer_range: [0, 32]
- model: HyperbeeAI/Tulpar-7b-v2
layer_range: [0, 32]
merge_method: slerp
base_model: mistralai/Mistral-7B-v0.1
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 # fallback for rest of tensors
dtype: float16
- Created
- May 10, 2024
- Updated
- May 10, 2024