Mistral Small 3.1 24B Instruct 2503 Text by AlexHung29629

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Mistral Small 3.1 24B Instruct 2503 Text is an open-source language model by AlexHung29629. Features: 24b LLM, VRAM: 47.3GB, Context: 128K, Instruction-Based, LLM Explorer Score: 0.19.

  Arxiv:1910.09700   Conversational   Endpoints compatible   Instruct   Mistral   Region:us   Safetensors   Sharded   Tensorflow

Mistral Small 3.1 24B Instruct 2503 Text Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Mistral Small 3.1 24B Instruct 2503 Text Parameters and Internals

LLM NameMistral Small 3.1 24B Instruct 2503 Text
Repository 🤗https://huggingface.co/AlexHung29629/Mistral-Small-3.1-24B-Instruct-2503-text 
Model Size24b
Required VRAM47.3 GB
Updated2026-04-04
MaintainerAlexHung29629
Model Typemistral
Instruction-BasedYes
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 ArchitectureMistralForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.50.3
Tokenizer ClassLlamaTokenizerFast
Padding Token<pad>
Vocabulary Size131072
Torch Data Typebfloat16

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MS3.2 24B Magnum Diamond128K / 47.3 GB9656
Note: green Score (e.g. "73.2") means that the model is better than AlexHung29629/Mistral-Small-3.1-24B-Instruct-2503-text.

Rank the Mistral Small 3.1 24B Instruct 2503 Text 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 v20260328a