Macaroni V2 7B by andrijdavid

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  Merged Model   Arxiv:2306.01708   Arxiv:2311.03099   Autotrain compatible Base model:flemmingmiguel/mbx-... Base model:mistralai/mistral-7... Base model:mlabonne/omnibeagle... Base model:vanillaovo/supermar...   En   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow

Macaroni V2 7B Benchmarks

Macaroni V2 7B (andrijdavid/Macaroni-v2-7b)

Macaroni V2 7B Parameters and Internals

Additional Notes 
This model was created by merging several pre-trained language models using the DARE and TIES merge method with the mergekit tool.
Supported Languages 
en (high)
LLM NameMacaroni V2 7B
Repository ๐Ÿค—https://huggingface.co/andrijdavid/Macaroni-v2-7b 
Base Model(s)  MBX 7B V3   OmniBeagle 7B   mistralai/Mistral-7B-v0.1   Supermario V4   flemmingmiguel/MBX-7B-v3   mlabonne/OmniBeagle-7B   mistralai/Mistral-7B-v0.1   vanillaOVO/supermario_v4
Merged ModelYes
Model Size7b
Required VRAM14.5 GB
Updated2024-12-26
Maintainerandrijdavid
Model Typemistral
Model Files  1.9 GB: 1-of-8   2.0 GB: 2-of-8   1.9 GB: 3-of-8   2.0 GB: 4-of-8   1.9 GB: 5-of-8   1.9 GB: 6-of-8   2.0 GB: 7-of-8   0.9 GB: 8-of-8
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.35.2
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 andrijdavid/Macaroni-v2-7b.

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Data Analysis and Insight Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217