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Karen TheEditor V2 STRICT Mistral 7B by FPHam

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Karen TheEditor V2 STRICT Mistral 7B Benchmarks

ARC: 59.56 vs 96.7 (so35)-38.4%
HellaSwag: 81.79 vs 95.3 (gpt4)-14.2%
MMLU: 59.56 vs 88.3 (so35)-32.5%
TruthfulQA: 49.36 vs 59 (gpt4)-16.3%
WinoGrande: 74.35 vs 87.5 (gpt4)-15%
GSM8K: 30.17 vs 96.4 (so35)-68.7%
LLME Score: 0.20947
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Karen TheEditor V2 STRICT Mistral 7B Parameters and Internals

LLM NameKaren TheEditor V2 STRICT Mistral 7B
Repository 🤗https://huggingface.co/FPHam/Karen_TheEditor_V2_STRICT_Mistral_7B 
Model Size7b
Required VRAM14.4 GB
Updated2024-09-08
MaintainerFPHam
Model Typemistral
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2
Model ArchitectureMistralForCausalLM
Licensellama2
Context Length32768
Model Max Length32768
Transformers Version4.34.1
Tokenizer ClassLlamaTokenizer
Vocabulary Size32002
Torch Data Typefloat16
Karen TheEditor V2 STRICT Mistral 7B (FPHam/Karen_TheEditor_V2_STRICT_Mistral_7B)

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Note: green Score (e.g. "73.2") means that the model is better than FPHam/Karen_TheEditor_V2_STRICT_Mistral_7B.

Rank the Karen TheEditor V2 STRICT Mistral 7B Capabilities

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
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