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Ignore MS3 Reasoner Mergekit by d-rang-d

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  Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/d-rang-d/ignore_MS3-Reasoner-mergekit 

Ignore MS3 Reasoner Mergekit Benchmarks

LLME Score: 0.23054
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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Ignore MS3 Reasoner Mergekit Parameters and Internals

LLM NameIgnore MS3 Reasoner Mergekit
Repository 🤗https://huggingface.co/d-rang-d/ignore_MS3-Reasoner-mergekit 
Model Size23.6b
Required VRAM47.3 GB
Updated2025-06-09
Maintainerd-rang-d
Model Files  4.8 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   3.9 GB: 10-of-10
Model ArchitectureMambaSSM
Model Max Length32768
Tokenizer ClassLlamaTokenizer
Vocabulary Size131072
Ignore MS3 Reasoner Mergekit (d-rang-d/ignore_MS3-Reasoner-mergekit)

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Note: green Score (e.g. "73.2") means that the model is better than d-rang-d/ignore_MS3-Reasoner-mergekit.

Rank the Ignore MS3 Reasoner Mergekit 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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