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

Mistral Small 3.1 24B Instruct 2503 Hf requires approximately 47.3 GB of VRAM and supports a context window of 32K 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 Hf and how large is it?

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

Where can I download or evaluate Mistral Small 3.1 24B Instruct 2503 Hf?

Mistral Small 3.1 24B Instruct 2503 Hf is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Mistral Small 3.1 24B Instruct 2503 Hf by mrfakename — VRAM 47.3GB, 32K context

Name: Mistral Small 3.1 24B Instruct 2503 Hf
Author: mrfakename

Mistral Small 3.1 24B Instruct 2503 Hf is an open-source language model by mrfakename. Features: 24b LLM, VRAM: 47.3GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.17.

Base model:finetune:mistralai/... Base model:mistralai/mistral-s... Conversational Endpoints compatible Instruct Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mrfakename/mistral-small-3.1-24b-instruct-2503-hf

Mistral Small 3.1 24B Instruct 2503 Hf Parameters and Internals

LLM Name	Mistral Small 3.1 24B Instruct 2503 Hf
Repository 🤗	https://huggingface.co/mrfakename/mistral-small-3.1-24b-instruct-2503-hf
Base Model(s)	mistralai/Mistral-Small-3.1-24B-Instruct-2503 mistralai/Mistral-Small-3.1-24B-Instruct-2503
Model Size	24b
Required VRAM	47.3 GB
Updated	2026-08-05
Maintainer	mrfakename
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
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.49.0
Tokenizer Class	LlamaTokenizerFast
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the Mistral Small 3.1 24B Instruct 2503 Hf 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

Quantized Models of the Mistral Small 3.1 24B Instruct 2503 Hf

Model	Likes	Downloads	VRAM
... 3.1 24B Instruct 2503 Hf GGUF	2	64293	8 GB

Best Alternatives to Mistral Small 3.1 24B Instruct 2503 Hf

Best Alternatives	Context / RAM	Downloads	Likes
...ral Nemo Instruct 24B Merge V1	1000K / 24.6 GB	9	0
...all 3.1 24B Instruct 2503 Text	128K / 47.3 GB	16	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	50	13
MS3.2 PaintedFantasy V3 24B	128K / 47.3 GB	28	35

Note: green Score (e.g. "73.2") means that the model is better than mrfakename/mistral-small-3.1-24b-instruct-2503-hf.