What are the hardware requirements for MS3.1 24B Magnum Diamond?

MS3.1 24B Magnum Diamond 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 MS3.1 24B Magnum Diamond and how large is it?

MS3.1 24B Magnum Diamond is developed by Doctor-Shotgun, 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 MS3.1 24B Magnum Diamond?

MS3.1 24B Magnum Diamond is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

MS3.1 24B Magnum Diamond by Doctor-Shotgun — VRAM 47.3GB, 128K context

Name: MS3.1 24B Magnum Diamond
Author: Doctor-Shotgun

MS3.1 24B Magnum Diamond is an open-source language model by Doctor-Shotgun. Features: 24b LLM, VRAM: 47.3GB, Context: 128K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.19.

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

Model Card on HF 🤗: https://huggingface.co/DS-Archive/MS3.1-24B-Magnum-Diamond

MS3.1 24B Magnum Diamond Parameters and Internals

LLM Name	MS3.1 24B Magnum Diamond
Repository 🤗	https://huggingface.co/DS-Archive/MS3.1-24B-Magnum-Diamond
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	2026-08-14
Maintainer	Doctor-Shotgun
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	en
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.51.3
Tokenizer Class	LlamaTokenizerFast
Padding Token	<pad>
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the MS3.1 24B Magnum Diamond 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 MS3.1 24B Magnum Diamond

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	18	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	32	12
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 DS-Archive/MS3.1-24B-Magnum-Diamond.