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WestSeverus 7B DPO V2 by FelixChao

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

WestSeverus 7B DPO V2 Benchmarks

ARC: 71.42 vs 96.7 (so35)-26.1%
HellaSwag: 88.24 vs 95.3 (gpt4)-7.4%
MMLU: 64.8 vs 88.3 (so35)-26.6%
TruthfulQA: 72.37 vs 59 (gpt4)22.7%
WinoGrande: 83.27 vs 87.5 (gpt4)-4.8%
GSM8K: 71.57 vs 96.4 (so35)-25.8%
LLME Score: 0.14164
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
WestSeverus 7B DPO V2 (PetroGPT/WestSeverus-7B-DPO-v2)
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WestSeverus 7B DPO V2 Parameters and Internals

LLM NameWestSeverus 7B DPO V2
Repository 🤗https://huggingface.co/PetroGPT/WestSeverus-7B-DPO-v2 
Model Size7b
Required VRAM14.4 GB
Updated2025-09-15
MaintainerFelixChao
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 Version4.35.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than PetroGPT/WestSeverus-7B-DPO-v2.

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Release v20241124
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