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Neural Chat 7B V3.3 Wizardmath Dare Me by SanjiWatsuki

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  Autotrain compatible   Endpoints compatible   Merge   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/SanjiWatsuki/neural-chat-7b-v3-3-wizardmath-dare-me 

Neural Chat 7B V3.3 Wizardmath Dare Me Benchmarks

ARC: 59.64 vs 96.7 (so35)-38.3%
HellaSwag: 82.63 vs 95.3 (gpt4)-13.3%
MMLU: 58.13 vs 88.3 (so35)-34.2%
TruthfulQA: 62.6 vs 59 (gpt4)6.1%
WinoGrande: 71.67 vs 87.5 (gpt4)-18.1%
GSM8K: 57.01 vs 96.4 (so35)-40.9%
LLME Score: 0.15222
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 (SanjiWatsuki/neural-chat-7b-v3-3-wizardmath-dare-me)
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Neural Chat 7B V3.3 Wizardmath Dare Me Parameters and Internals

Additional Notes 
The experiment involved utilizing two merger techniques together to try and transfer skills between finetuned models. However, the strategy ended up devastating the model's performance.
Training Details 
Methodology:
Mixing DARE TIE merger with task arithmetic merger.
LLM NameNeural Chat 7B V3.3 Wizardmath Dare Me
Repository 🤗https://huggingface.co/SanjiWatsuki/neural-chat-7b-v3-3-wizardmath-dare-me 
Model Size7b
Required VRAM14.4 GB
Updated2025-09-23
MaintainerSanjiWatsuki
Model Typemistral
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2
Model ArchitectureMistralForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

Quantized Models of the Neural Chat 7B V3.3 Wizardmath Dare Me

Model
Likes
Downloads
VRAM
...B V3.3 Wizardmath Dare Me GGUF2983 GB
...B V3.3 Wizardmath Dare Me GPTQ174 GB
...7B V3.3 Wizardmath Dare Me AWQ164 GB

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

Rank the Neural Chat 7B V3.3 Wizardmath Dare Me Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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