What are the hardware requirements for Mistral Small 24B Instruct 2501 S1 SFT?

Mistral Small 24B Instruct 2501 S1 SFT 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 24B Instruct 2501 S1 SFT and how large is it?

Mistral Small 24B Instruct 2501 S1 SFT is developed by yentinglin, 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 24B Instruct 2501 S1 SFT?

Mistral Small 24B Instruct 2501 S1 SFT is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Mistral Small 24B Instruct 2501 S1 SFT by yentinglin — VRAM 47.3GB, 32K context

Name: Mistral Small 24B Instruct 2501 S1 SFT
Author: yentinglin

Mistral Small 24B Instruct 2501 S1 SFT is an open-source language model by yentinglin. Features: 24b LLM, VRAM: 47.3GB, Context: 32K, Instruction-Based, LLM Explorer Score: 0.17.

Autotrain compatible Base model:finetune:mistralai/... Base model:mistralai/mistral-s... Conversational Dataset:yentinglin/s1k-1.1-trl... Endpoints compatible Generated from trainer Instruct Mistral Open-r1 Region:us Safetensors Sft Sharded Tensorflow Trl

Model Card on HF 🤗: https://huggingface.co/yentinglin/Mistral-Small-24B-Instruct-2501-S1-SFT

Mistral Small 24B Instruct 2501 S1 SFT Parameters and Internals

LLM Name	Mistral Small 24B Instruct 2501 S1 SFT
Repository 🤗	https://huggingface.co/yentinglin/Mistral-Small-24B-Instruct-2501-S1-SFT
Model Name	Mistral-Small-24B-Instruct-2501-S1-SFT
Base Model(s)	...istral Small 24B Instruct 2501 mistralai/Mistral-Small-24B-Instruct-2501
Model Size	24b
Required VRAM	47.3 GB
Updated	2025-02-15
Maintainer	yentinglin
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 0.0 GB
Model Architecture	MistralForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.49.0.dev0
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the Mistral Small 24B Instruct 2501 S1 SFT 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

Best Alternatives to Mistral Small 24B Instruct 2501 S1 SFT

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	37	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 yentinglin/Mistral-Small-24B-Instruct-2501-S1-SFT.