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

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  4-bit   Autotrain compatible   Awq Base model:quantized:sanjiwats... Base model:sanjiwatsuki/neural...   Merge   Mistral   Quantized   Region:us   Safetensors

Neural Chat 7B V3.3 Wizardmath Dare Me AWQ 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 AWQ (TheBloke/neural-chat-7B-v3-3-wizardmath-dare-me-AWQ)
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Neural Chat 7B V3.3 Wizardmath Dare Me AWQ Parameters and Internals

Model Type 
mistral
LLM NameNeural Chat 7B V3.3 Wizardmath Dare Me AWQ
Repository ๐Ÿค—https://huggingface.co/TheBloke/neural-chat-7B-v3-3-wizardmath-dare-me-AWQ 
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 VRAM4.2 GB
Updated2025-09-16
MaintainerTheBloke
Model Typemistral
Model Files  4.2 GB
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMistralForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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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-AWQ.

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124