What are the hardware requirements for Mistral Small 3.1 24B Instruct 2503 Text?

Mistral Small 3.1 24B Instruct 2503 Text requires approximately 47.3 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Mistral Small 3.1 24B Instruct 2503 Text and how large is it?

Mistral Small 3.1 24B Instruct 2503 Text is developed by AlexHung29629, a model with 24b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Mistral Small 3.1 24B Instruct 2503 Text perform on standard benchmarks?

Mistral Small 3.1 24B Instruct 2503 Text has the following published scores: LMSYS ELO 1303. Compare against reference models on this page or on the LLM Explorer leaderboards.

Mistral Small 3.1 24B Instruct 2503 Text by AlexHung29629 — VRAM 47.3GB, 128K context

Name: Mistral Small 3.1 24B Instruct 2503 Text
Author: AlexHung29629

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: 0.3, ELO: 1303.

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

Model Card on HF 🤗: https://huggingface.co/AlexHung29629/Mistral-Small-3.1-24B-Instruct-2503-text

Mistral Small 3.1 24B Instruct 2503 Text Benchmarks

LMSys ELO 1303 vs 1272 (so35) 2.4%

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

What is the LLM Explorer Rank (Score)

Mistral Small 3.1 24B Instruct 2503 Text Parameters and Internals

LLM Name	Mistral Small 3.1 24B Instruct 2503 Text
Repository 🤗	https://huggingface.co/AlexHung29629/Mistral-Small-3.1-24B-Instruct-2503-text
Model Size	24b
Required VRAM	47.3 GB
Updated	2026-08-24
Maintainer	AlexHung29629
Model Type	mistral
Instruction-Based	Yes
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 Architecture	MistralForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.50.3
Tokenizer Class	LlamaTokenizerFast
Padding Token	<pad>
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the Mistral Small 3.1 24B Instruct 2503 Text capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

Best Alternatives to Mistral Small 3.1 24B Instruct 2503 Text

Best Alternatives	Context / RAM	Downloads	Likes
...ral Nemo Instruct 24B Merge V1	1000K / 24.6 GB	9	0
Cydonia 24B V4.3	128K / 47.3 GB	3652	138
Slimaki 24B V1.2	128K / 47.3 GB	28	6
Neural V1 24B	128K / 47.3 GB	9	3
MS3.2 PaintedFantasy V4.1 24B	128K / 47.3 GB	80	18
Cydonia 24B V4.1	128K / 47.3 GB	2162	80
Slimaki 24B V1	128K / 47.3 GB	15	10
Asmodeus 24B V1	128K / 47.3 GB	45	13
MS3.2 PaintedFantasy V3 24B	128K / 47.3 GB	28	35
Rivermind 24B V1	128K / 47.3 GB	3	12