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ShadowNeural 7B ORPO by FelixChao

 »  All LLMs  »  FelixChao  »  ShadowNeural 7B ORPO   URL Share it on

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  Arxiv:1910.09700   Autotrain compatible   Conversational   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/FelixChao/ShadowNeural-7B-ORPO 

ShadowNeural 7B ORPO Benchmarks

ARC: 66.72 vs 96.7 (so35)-31%
HellaSwag: 85.13 vs 95.3 (gpt4)-10.7%
MMLU: 64.64 vs 88.3 (so35)-26.8%
TruthfulQA: 67.16 vs 59 (gpt4)13.8%
WinoGrande: 82.87 vs 87.5 (gpt4)-5.3%
GSM8K: 68.69 vs 96.4 (so35)-28.7%
LLME Score: 0.19264
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
ShadowNeural 7B ORPO (FelixChao/ShadowNeural-7B-ORPO)

ShadowNeural 7B ORPO Parameters and Internals

LLM NameShadowNeural 7B ORPO
Repository 🤗https://huggingface.co/FelixChao/ShadowNeural-7B-ORPO 
Model Size7b
Required VRAM14.4 GB
Updated2025-02-22
MaintainerFelixChao
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.40.2
Tokenizer ClassLlamaTokenizer
Padding Token<|im_end|>
Vocabulary Size32002
Torch Data Typebfloat16

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Test001128K / 14.5 GB90
Note: green Score (e.g. "73.2") means that the model is better than FelixChao/ShadowNeural-7B-ORPO.

Rank the ShadowNeural 7B ORPO 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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Release v20241227
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