What are the hardware requirements for Shisa V2 Mistral Small 24B?

Shisa V2 Mistral Small 24B 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 Shisa V2 Mistral Small 24B and how large is it?

Shisa V2 Mistral Small 24B is developed by shisa-ai, 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 Shisa V2 Mistral Small 24B?

Shisa V2 Mistral Small 24B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Shisa V2 Mistral Small 24B by shisa-ai — VRAM 47.3GB, 32K context

Name: Shisa V2 Mistral Small 24B
Author: shisa-ai

Shisa V2 Mistral Small 24B is an open-source language model by shisa-ai. Features: 24b LLM, VRAM: 47.3GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.18.

Arxiv:2404.18796 Arxiv:2501.18511 Base model:finetune:mistralai/... Base model:mistralai/mistral-s... Conversational Dataset:shisa-ai/deepseekv3-ul... Dataset:shisa-ai/shisa-v2-shar... Deploy:azure En Endpoints compatible Instruct Ja Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/shisa-ai/shisa-v2-mistral-small-24b

Shisa V2 Mistral Small 24B Parameters and Internals

LLM Name	Shisa V2 Mistral Small 24B
Repository 🤗	https://huggingface.co/shisa-ai/shisa-v2-mistral-small-24b
Base Model(s)	...istral Small 24B Instruct 2501 mistralai/Mistral-Small-24B-Instruct-2501
Model Size	24b
Required VRAM	47.3 GB
Updated	2026-08-08
Maintainer	shisa-ai
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
Supported Languages	ja en
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.50.0
Tokenizer Class	LlamaTokenizerFast
Padding Token	</s>
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the Shisa V2 Mistral Small 24B 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 Shisa V2 Mistral Small 24B

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	12	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	43	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 shisa-ai/shisa-v2-mistral-small-24b.