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Magro 7B by Sakalti

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  Autotrain compatible   Conversational   En   Endpoints compatible   Ja   Mistral   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/Sakalti/magro-7B 

Magro 7B Benchmarks

MMLU Pro: 19.61
GPQA: 6.04
MUSR: 13.62
BBH: 19.55
IFEval: 13.44 vs 88 (so35)-84.7%
MATH Lvl 5: 2.04
LLME Score: 0.26265
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Magro 7B (Sakalti/magro-7B)

Magro 7B Parameters and Internals

LLM NameMagro 7B
Repository 🤗https://huggingface.co/Sakalti/magro-7B 
Base Model(s)  HuggingfaceH4/zephyr-7b-beta   HuggingfaceH4/zephyr-7b-beta
Model Size7b
Required VRAM14.4 GB
Updated2025-03-25
MaintainerSakalti
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen ja
Model ArchitectureMistralForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.46.3
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than Sakalti/magro-7B.

Rank the Magro 7B Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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