Mistral Small 24B Instruct 2501 Reasoning by yentinglin

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Mistral Small 24B Instruct 2501 Reasoning is an open-source language model by yentinglin. Features: 24b LLM, VRAM: 47.3GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.19.

Base model:finetune:mistralai/... Base model:mistralai/mistral-s...   Conversational Dataset:open-r1/openr1-math-22...   Dataset:simplescaling/s1k-1.1 Dataset:yentinglin/s1k-1.1-trl...   En   Instruct   Mistral   Model-index   Reasoning   Region:us   Safetensors   Sharded   Tensorflow

Mistral Small 24B Instruct 2501 Reasoning 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 24B Instruct 2501 Reasoning (yentinglin/Mistral-Small-24B-Instruct-2501-reasoning)
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Mistral Small 24B Instruct 2501 Reasoning Parameters and Internals

LLM NameMistral Small 24B Instruct 2501 Reasoning
Repository ๐Ÿค—https://huggingface.co/yentinglin/Mistral-Small-24B-Instruct-2501-reasoning 
Base Model(s)  ...istral Small 24B Instruct 2501   mistralai/Mistral-Small-24B-Instruct-2501
Model Size24b
Required VRAM47.3 GB
Updated2026-04-04
Maintaineryentinglin
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
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.48.3
Tokenizer ClassLlamaTokenizer
Padding Token<pad>
Vocabulary Size131072
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than yentinglin/Mistral-Small-24B-Instruct-2501-reasoning.

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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  
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Release v20260328a