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LeoScorpius 7B Chat DPO by viethq188

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  Autotrain compatible   Endpoints compatible   Mistral   Pytorch   Region:us   Sharded

LeoScorpius 7B Chat DPO Benchmarks

ARC: 70.48 vs 96.7 (so35)-27.1%
HellaSwag: 87.97 vs 95.3 (gpt4)-7.7%
MMLU: 65.08 vs 88.3 (so35)-26.3%
TruthfulQA: 68.83 vs 59 (gpt4)16.7%
WinoGrande: 82.08 vs 87.5 (gpt4)-6.2%
GSM8K: 69.07 vs 96.4 (so35)-28.4%
LLME Score: 0.20238
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

LeoScorpius 7B Chat DPO Parameters and Internals

LLM NameLeoScorpius 7B Chat DPO
Repository 🤗https://huggingface.co/viethq188/LeoScorpius-7B-Chat-DPO 
Model Size7b
Required VRAM14.7 GB
Updated2024-09-18
Maintainerviethq188
Model Typemistral
Model Files  0.9 GB: 1-of-15   1.0 GB: 2-of-15   1.0 GB: 3-of-15   1.0 GB: 4-of-15   1.0 GB: 5-of-15   1.0 GB: 6-of-15   1.0 GB: 7-of-15   1.0 GB: 8-of-15   1.0 GB: 9-of-15   1.0 GB: 10-of-15   1.0 GB: 11-of-15   1.0 GB: 12-of-15   1.0 GB: 13-of-15   1.0 GB: 14-of-15   0.8 GB: 15-of-15
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.34.1
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16
LeoScorpius 7B Chat DPO (viethq188/LeoScorpius-7B-Chat-DPO)

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Note: green Score (e.g. "73.2") means that the model is better than viethq188/LeoScorpius-7B-Chat-DPO.

Rank the LeoScorpius 7B Chat DPO 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
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