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7B Cetacea by baebee

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  Merged Model   Arxiv:2403.19522   Autotrain compatible Base model:cognitivecomputatio... Base model:cognitivecomputatio... Base model:open-orca/mistral-7... Base model:openchat/openchat 3...   Conversational   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/baebee/7B-Cetacea 

7B Cetacea Benchmarks

MMLU Pro: 21.72
GPQA: 4.81
MUSR: 9.9
BBH: 25.75
IFEval: 52.79 vs 88 (so35)-40%
MATH Lvl 5: 4.68
LLME Score: 0.31666
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
7B Cetacea (baebee/7B-Cetacea)

7B Cetacea Parameters and Internals

LLM Name7B Cetacea
Repository 🤗https://huggingface.co/baebee/7B-Cetacea 
Base Model(s)  cognitivecomputations/dolphin-2.8-mistral-7b-v02   openchat/openchat_3.5   cognitivecomputations/dolphin-2.6-mistral-7b-dpo-laser   Mistral 7B OpenOrca   cognitivecomputations/dolphin-2.8-mistral-7b-v02   openchat/openchat_3.5   cognitivecomputations/dolphin-2.6-mistral-7b-dpo-laser   Open-Orca/Mistral-7B-OpenOrca
Merged ModelYes
Model Size7b
Required VRAM14.5 GB
Updated2025-03-18
Maintainerbaebee
Model Typemistral
Model Files  4.9 GB: 1-of-3   4.9 GB: 2-of-3   4.7 GB: 3-of-3
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.49.0
Tokenizer ClassLlamaTokenizer
Padding Token<|im_end|>
Vocabulary Size32001
Torch Data Typebfloat16

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Rank the 7B Cetacea 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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