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Mistral 7B Erebus V3 by KoboldAI

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Mistral 7B Erebus V3 is an open-source language model by KoboldAI. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, HF Score: 56.8, LLM Explorer Score: 0.14, Arc: 59.9, HellaSwag: 80.3, MMLU: 59.4, TruthfulQA: 40.9, WinoGrande: 74.8, GSM8K: 25.6.

  Autotrain compatible   En   Finetuned   Mistral   Not-for-all-audiences   Pytorch   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/KoboldAI/Mistral-7B-Erebus-v3 

Mistral 7B Erebus V3 Benchmarks

ARC: 59.9 vs 96.7 (so35)-38.1%
HellaSwag: 80.3 vs 95.3 (gpt4)-15.7%
MMLU: 59.42 vs 88.3 (so35)-32.7%
TruthfulQA: 40.93 vs 59 (gpt4)-30.6%
WinoGrande: 74.82 vs 87.5 (gpt4)-14.5%
GSM8K: 25.55 vs 96.4 (so35)-73.5%
LLME Score: 0.13669
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral 7B Erebus V3 (KoboldAI/Mistral-7B-Erebus-v3)
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Mistral 7B Erebus V3 Parameters and Internals

LLM NameMistral 7B Erebus V3
Repository 🤗https://huggingface.co/KoboldAI/Mistral-7B-Erebus-v3 
Model Size7b
Required VRAM14.4 GB
Updated2025-09-23
MaintainerKoboldAI
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.0
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 KoboldAI/Mistral-7B-Erebus-v3.

Rank the Mistral 7B Erebus V3 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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