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MD3 MidR 24B by rityak

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  Merged Model   Autotrain compatible Base model:cognitivecomputatio... Base model:cognitivecomputatio...   Conversational   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/rityak/MD3-MidR-24B 

MD3 MidR 24B Benchmarks

LLME Score: 0.22704
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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MD3 MidR 24B Parameters and Internals

LLM NameMD3 MidR 24B
Repository 🤗https://huggingface.co/rityak/MD3-MidR-24B 
Base Model(s)  cognitivecomputations/Dolphin3.0-R1-Mistral-24B   cognitivecomputations/Dolphin3.0-Mistral-24B   cognitivecomputations/Dolphin3.0-R1-Mistral-24B   cognitivecomputations/Dolphin3.0-Mistral-24B
Merged ModelYes
Model Size24b
Required VRAM47.3 GB
Updated2025-02-16
Maintainerrityak
Model Typemistral
Model Files  4.9 GB: 1-of-10   4.8 GB: 2-of-10   4.8 GB: 3-of-10   4.9 GB: 4-of-10   4.8 GB: 5-of-10   4.8 GB: 6-of-10   4.9 GB: 7-of-10   4.8 GB: 8-of-10   4.8 GB: 9-of-10   3.8 GB: 10-of-10
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.48.2
Tokenizer ClassLlamaTokenizer
Padding Token<pad>
Vocabulary Size131074
Torch Data Typefloat16
MD3 MidR 24B (rityak/MD3-MidR-24B)

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Note: green Score (e.g. "73.2") means that the model is better than rityak/MD3-MidR-24B.

Rank the MD3 MidR 24B 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 v20241124
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