What are the hardware requirements for Mistral Small3 24B InstructContinuedFine?

Mistral Small3 24B InstructContinuedFine 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 Small3 24B InstructContinuedFine and how large is it?

Mistral Small3 24B InstructContinuedFine is developed by AlSamCur123, 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 Small3 24B InstructContinuedFine?

Mistral Small3 24B InstructContinuedFine is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Mistral Small3 24B InstructContinuedFine by AlSamCur123 — VRAM 47.3GB, 32K context

Name: Mistral Small3 24B InstructContinuedFine
Author: AlSamCur123

Mistral Small3 24B InstructContinuedFine is an open-source language model by AlSamCur123. Features: 24b LLM, VRAM: 47.3GB, Context: 32K, License: apache-2.0, Quantized, LLM Explorer Score: 0.16.

Base model:alsamcur123/mistral... Base model:finetune:alsamcur12... Conversational En Endpoints compatible Mistral Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/AlSamCur123/Mistral-Small3-24B-InstructContinuedFine

Mistral Small3 24B InstructContinuedFine Parameters and Internals

LLM Name	Mistral Small3 24B InstructContinuedFine
Repository 🤗	https://huggingface.co/AlSamCur123/Mistral-Small3-24B-InstructContinuedFine
Base Model(s)	...all3 24B InstructContinuedFine AlSamCur123/Mistral-Small3-24B-InstructContinuedFine
Model Size	24b
Required VRAM	47.3 GB
Updated	2026-08-25
Maintainer	AlSamCur123
Model Type	mistral
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 Languages	en
Quantization Type	4bit
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.52.4
Tokenizer Class	LlamaTokenizerFast
Padding Token	<pad>
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the Mistral Small3 24B InstructContinuedFine 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 Small3 24B InstructContinuedFine

Best Alternatives	Context / RAM	Downloads	Likes
...ral Nemo Instruct 24B Merge V1	1000K / 24.6 GB	9	0
Ouroboros 24B V1.4	128K / 47.3 GB	248	5
...all 3.1 24B Instruct 2503 Text	128K / 47.3 GB	16	0
Morbid Miasma 24B	128K / 47.3 GB	333	16
Doppelganger Twist 24B	128K / 47.3 GB	339	0
Zepar 24B V1	128K / 47.3 GB	207	5
MagiSeek Pro V1	128K / 47.3 GB	303	1
Slimaki Tavern 24B V1.3	128K / 47.3 GB	346	16
Cydonia 24B V4.3	128K / 47.3 GB	3652	138
Transformed Journey 24B	128K / 47.3 GB	65	0

Note: green Score (e.g. "73.2") means that the model is better than AlSamCur123/Mistral-Small3-24B-InstructContinuedFine.