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Dolphin Nebula 7B by Weyaxi

 »  All LLMs  »  Weyaxi  »  Dolphin Nebula 7B   URL Share it on

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  Autotrain compatible   Conversational Dataset:garage-baind/open-plat...   En   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Weyaxi/Dolphin-Nebula-7B 

Dolphin Nebula 7B Benchmarks

ARC: 55.2 vs 96.7 (so35)-42.9%
HellaSwag: 78.57 vs 95.3 (gpt4)-17.6%
MMLU: 53.44 vs 88.3 (so35)-39.5%
TruthfulQA: 57.97 vs 59 (gpt4)-1.7%
WinoGrande: 73.88 vs 87.5 (gpt4)-15.6%
GSM8K: 33.06 vs 96.4 (so35)-65.7%
LLME Score: 0.17815
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Dolphin Nebula 7B (Weyaxi/Dolphin-Nebula-7B)

Dolphin Nebula 7B Parameters and Internals

Supported Languages 
en (high)
LLM NameDolphin Nebula 7B
Repository 🤗https://huggingface.co/Weyaxi/Dolphin-Nebula-7B 
Model Size7b
Required VRAM14.4 GB
Updated2024-12-22
MaintainerWeyaxi
Model Typemistral
Model Files  5.5 GB: 1-of-3   5.4 GB: 2-of-3   3.5 GB: 3-of-3
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.34.0
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 Weyaxi/Dolphin-Nebula-7B.

Rank the Dolphin Nebula 7B 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 v20241217
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