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NeuralQuant 9B by mlabonne

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  Autotrain compatible   Endpoints compatible   Merge   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/mlabonne/NeuralQuant-9B 

NeuralQuant 9B Benchmarks

LLME Score: 0.1385
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
NeuralQuant 9B (mlabonne/NeuralQuant-9B)
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NeuralQuant 9B Parameters and Internals

Additional Notes 
This model is a merge of '[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)'. Merge performed using [mergekit](https://github.com/cg123/mergekit).
LLM NameNeuralQuant 9B
Repository 🤗https://huggingface.co/mlabonne/NeuralQuant-9B 
Model Size9b
Required VRAM17.9 GB
Updated2025-09-15
Maintainermlabonne
Model Typemistral
Model Files  9.9 GB: 1-of-2   8.0 GB: 2-of-2
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

Quantized Models of the NeuralQuant 9B

Model
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VRAM
NeuralQuant 9B GGUF1273 GB

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

Rank the NeuralQuant 9B Capabilities

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Instruction Following and Task Automation  
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Release v20241124
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