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MistralCreative 3.1 24B Instruct Test by Sorawiz

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MistralCreative 3.1 24B Instruct Test is an open-source language model by Sorawiz. Features: 24b LLM, VRAM: 47.3GB, Context: 32K, Instruction-Based, Merged, LLM Explorer Score: 0.18.

  Merged Model   Arxiv:2311.03099   Autotrain compatible Base model:mrfakename/mistral-... Base model:readyart/forgotten-... Base model:sorawiz/mistralsmal...   Conversational   Endpoints compatible   Instruct   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Sorawiz/MistralCreative-3.1-24B-Instruct-Test 

MistralCreative 3.1 24B Instruct Test Benchmarks

LLME Score: 0.18042
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MistralCreative 3.1 24B Instruct Test (Sorawiz/MistralCreative-3.1-24B-Instruct-Test)
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MistralCreative 3.1 24B Instruct Test Parameters and Internals

LLM NameMistralCreative 3.1 24B Instruct Test
Repository 🤗https://huggingface.co/Sorawiz/MistralCreative-3.1-24B-Instruct-Test 
Base Model(s)  mrfakename/mistral-small-3.1-24b-instruct-2503-hf   MistralSmall Creative 24B   ReadyArt/Forgotten-Safeword-24B-v4.0   mrfakename/mistral-small-3.1-24b-instruct-2503-hf   Sorawiz/MistralSmall-Creative-24B   ReadyArt/Forgotten-Safeword-24B-v4.0
Merged ModelYes
Model Size24b
Required VRAM47.3 GB
Updated2025-03-20
MaintainerSorawiz
Model Typemistral
Instruction-BasedYes
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 Version4.49.0
Tokenizer ClassLlamaTokenizerFast
Vocabulary Size131072
Torch Data Typebfloat16

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MS3.2 PaintedFantasy V2 24B128K / 47.3 GB11940
Note: green Score (e.g. "73.2") means that the model is better than Sorawiz/MistralCreative-3.1-24B-Instruct-Test.

Rank the MistralCreative 3.1 24B Instruct Test 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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