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Not WizardLM 2 7B by amazingvince

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Not WizardLM 2 7B is an open-source language model by amazingvince. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, HF Score: 63.7, LLM Explorer Score: 0.16, Arc: 62.9, HellaSwag: 83.3, MMLU: 61.5, TruthfulQA: 57, WinoGrande: 73.6, GSM8K: 43.8.

  Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/amazingvince/Not-WizardLM-2-7B 

Not WizardLM 2 7B Benchmarks

ARC: 62.88 vs 96.7 (so35)-35%
HellaSwag: 83.26 vs 95.3 (gpt4)-12.6%
MMLU: 61.53 vs 88.3 (so35)-30.3%
TruthfulQA: 56.98 vs 59 (gpt4)-3.4%
WinoGrande: 73.56 vs 87.5 (gpt4)-15.9%
GSM8K: 43.75 vs 96.4 (so35)-54.6%
LLME Score: 0.16332
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Not WizardLM 2 7B (amazingvince/Not-WizardLM-2-7B)
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Not WizardLM 2 7B Parameters and Internals

Model Type 
text generation
Additional Notes 
Inference facilitate is provided through a Colab notebook and chat template configuration.
LLM NameNot WizardLM 2 7B
Repository 🤗https://huggingface.co/amazingvince/Not-WizardLM-2-7B 
Model Size7b
Required VRAM14.4 GB
Updated2026-02-24
Maintaineramazingvince
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than amazingvince/Not-WizardLM-2-7B.

Rank the Not WizardLM 2 7B 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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