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Kunoichi DPO V2 7B by SanjiWatsuki

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  Autotrain compatible   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/SanjiWatsuki/Kunoichi-DPO-v2-7B 

Kunoichi DPO V2 7B Benchmarks

MMLU Pro: 23.41
GPQA: 6.15
MUSR: 11.09
BBH: 20.9
IFEval: 54.31 vs 88 (so35)-38.3%
ARC: 69.37 vs 96.7 (so35)-28.3%
HellaSwag: 87.42 vs 95.3 (gpt4)-8.3%
MMLU: 64.83 vs 88.3 (so35)-26.6%
TruthfulQA: 66 vs 59 (gpt4)11.9%
WinoGrande: 80.74 vs 87.5 (gpt4)-7.7%
GSM8K: 66.03 vs 96.4 (so35)-31.5%
MATH Lvl 5: 7.48
LLME Score: 0.26318
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Kunoichi DPO V2 7B (SanjiWatsuki/Kunoichi-DPO-v2-7B)

Kunoichi DPO V2 7B Parameters and Internals

Model Type 
DPO
LLM NameKunoichi DPO V2 7B
Repository 🤗https://huggingface.co/SanjiWatsuki/Kunoichi-DPO-v2-7B 
Model Size7b
Required VRAM14.4 GB
Updated2024-12-22
MaintainerSanjiWatsuki
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Model ArchitectureMistralForCausalLM
Licensecc-by-nc-4.0
Context Length8192
Model Max Length8192
Transformers Version4.35.2
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 SanjiWatsuki/Kunoichi-DPO-v2-7B.

Rank the Kunoichi DPO V2 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 v20241217
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