Neural Chat 7B V3.3 Wizardmath Dare Me GGUF by TheBloke

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Base model:quantized:sanjiwats... Base model:sanjiwatsuki/neural...   Gguf   Merge   Mistral   Quantized   Region:us

Neural Chat 7B V3.3 Wizardmath Dare Me GGUF Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Neural Chat 7B V3.3 Wizardmath Dare Me GGUF (TheBloke/neural-chat-7B-v3-3-wizardmath-dare-me-GGUF)
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Neural Chat 7B V3.3 Wizardmath Dare Me GGUF Parameters and Internals

Model Type 
mistral
Additional Notes 
This model is an experiment involving mixing DARE TIE merger with a task arithmetic merger to attempt to merge models with less loss. DARE TIE mergers are very strong at transferring strengths while merging a minimal part of the model. For larger models, 90-99% of delta parameters from SFT models can be dropped while retaining most of the benefits if they are rescaled and consensus merged back into the model. For 7B models, we can't drop as many of the parameters and retain the model's strengths.
LLM NameNeural Chat 7B V3.3 Wizardmath Dare Me GGUF
Repository ๐Ÿค—https://huggingface.co/TheBloke/neural-chat-7B-v3-3-wizardmath-dare-me-GGUF 
Model NameNeural Chat 7B V3.3 WizardMath DARE ME
Model CreatorSanji Watsuki
Base Model(s)  ...hat 7B V3.3 Wizardmath Dare Me   SanjiWatsuki/neural-chat-7b-v3-3-wizardmath-dare-me
Model Size7b
Required VRAM3.1 GB
Updated2025-09-16
MaintainerTheBloke
Model Typemistral
Model Files  3.1 GB   3.8 GB   3.5 GB   3.2 GB   4.1 GB   4.4 GB   4.1 GB   5.0 GB   5.1 GB   5.0 GB   5.9 GB   7.7 GB
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licenseother

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/neural-chat-7B-v3-3-wizardmath-dare-me-GGUF.

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