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

 »  All LLMs  »  TheBloke  »  Neural Chat 7B V3.3 Wizardmath Dare Me GPTQ   URL Share it on

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  4-bit   Autotrain compatible Base model:quantized:sanjiwats... Base model:sanjiwatsuki/neural...   Gptq   Merge   Mistral   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/neural-chat-7B-v3-3-wizardmath-dare-me-GPTQ 

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

LLME Score: 0.12845
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 GPTQ (TheBloke/neural-chat-7B-v3-3-wizardmath-dare-me-GPTQ)
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Neural Chat 7B V3.3 Wizardmath Dare Me GPTQ Parameters and Internals

Model Type 
mistral
Additional Notes 
This model is an experiment involving the mixing of DARE TIE merger with a task arithmetic merger to attempt to merge models with less loss. DARE TIE mergers transfer strengths while merging a minimal part of the model.
LLM NameNeural Chat 7B V3.3 Wizardmath Dare Me GPTQ
Repository 🤗https://huggingface.co/TheBloke/neural-chat-7B-v3-3-wizardmath-dare-me-GPTQ 
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
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureMistralForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.36.2
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 TheBloke/neural-chat-7B-v3-3-wizardmath-dare-me-GPTQ.

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Release v20241124
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