MetaMath NeuralHermes 2.5 Mistral 7B Ties by Weyaxi

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  Autotrain compatible   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow

MetaMath NeuralHermes 2.5 Mistral 7B Ties Benchmarks

MetaMath NeuralHermes 2.5 Mistral 7B Ties (Weyaxi/MetaMath-NeuralHermes-2.5-Mistral-7B-Ties)
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MetaMath NeuralHermes 2.5 Mistral 7B Ties Parameters and Internals

Additional Notes 
This model is a merge of MetaMath-Mistral-7B and NeuralHermes-2.5-Mistral-7B using ties merge with specified weights and densities.
LLM NameMetaMath NeuralHermes 2.5 Mistral 7B Ties
Repository ๐Ÿค—https://huggingface.co/Weyaxi/MetaMath-NeuralHermes-2.5-Mistral-7B-Ties 
Model Size7b
Required VRAM15 GB
Updated2025-10-10
MaintainerWeyaxi
Model Typemistral
Model Files  10.2 GB: 1-of-2   4.8 GB: 2-of-2
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Weyaxi/MetaMath-NeuralHermes-2.5-Mistral-7B-Ties.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124