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Magro 7B V1.1 by Sakalti

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  Merged Model   Arxiv:2306.01708   Autotrain compatible Base model:huggingfaceh4/zephy...   Base model:sakalti/magro-7b   Conversational   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Sakalti/Magro-7b-v1.1 

Magro 7B V1.1 Benchmarks

LLME Score: 0.23401
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Magro 7B V1.1 (Sakalti/Magro-7b-v1.1)

Magro 7B V1.1 Parameters and Internals

LLM NameMagro 7B V1.1
Repository 🤗https://huggingface.co/Sakalti/Magro-7b-v1.1 
Base Model(s)  Magro 7B   Zephyr 7B Alpha   Sakalti/magro-7B   HuggingFaceH4/zephyr-7b-alpha
Merged ModelYes
Model Size7b
Required VRAM14.5 GB
Updated2025-03-25
MaintainerSakalti
Model Typemistral
Model Files  4.9 GB: 1-of-3   4.9 GB: 2-of-3   4.7 GB: 3-of-3
Model ArchitectureMistralForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.46.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Sakalti/Magro-7b-v1.1.

Rank the Magro 7B V1.1 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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