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NeuralQuant 9B GGUF by TheBloke

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Base model:mlabonne/neuralquan... Base model:quantized:mlabonne/...   Gguf   Merge   Mistral   Quantized   Region:us

NeuralQuant 9B GGUF Benchmarks

LLME Score: 0.17225
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

NeuralQuant 9B GGUF Parameters and Internals

Model Type 
mistral
Additional Notes 
This model is a merge of the following models made with [mergekit](https://github.com/cg123/mergekit): [quantumaikr/quantum-v0.01](https://huggingface.co/quantumaikr/quantum-v0.01) and [mlabonne/NeuralHermes-2.5-Mistral-7B](https://huggingface.co/mlabonne/NeuralHermes-2.5-Mistral-7B).
Training Details 
Data Sources:
quantumaikr/quantum-v0.01, mlabonne/NeuralHermes-2.5-Mistral-7B
LLM NameNeuralQuant 9B GGUF
Repository 🤗https://huggingface.co/TheBloke/NeuralQuant-9B-GGUF 
Model NameNeuralQuant 9B
Model CreatorMaxime Labonne
Base Model(s)  NeuralQuant 9B   mlabonne/NeuralQuant-9B
Model Size9b
Required VRAM3.8 GB
Updated2024-11-22
MaintainerTheBloke
Model Typemistral
Model Files  3.8 GB   4.7 GB   4.3 GB   3.9 GB   5.1 GB   5.4 GB   5.1 GB   6.2 GB   6.4 GB   6.2 GB   7.4 GB   9.6 GB
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licenseapache-2.0
NeuralQuant 9B GGUF (TheBloke/NeuralQuant-9B-GGUF)

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/NeuralQuant-9B-GGUF.

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Release v20241110
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