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Mistral 7B Erebus V3 by KoboldAI

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  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: 0.20627
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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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
Updated2024-12-03
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
Mistral 7B Erebus V3 (KoboldAI/Mistral-7B-Erebus-v3)

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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  
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Release v20241124
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