What are the hardware requirements for MagiSeek Pro V1?

MagiSeek Pro V1 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 MagiSeek Pro V1 and how large is it?

MagiSeek Pro V1 is developed by groxaxo, 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 MagiSeek Pro V1?

MagiSeek Pro V1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

MagiSeek Pro V1 by groxaxo — VRAM 47.3GB, 128K context

Name: MagiSeek Pro V1
Author: groxaxo

MagiSeek Pro V1 is an open-source language model by groxaxo. Features: 24b LLM, VRAM: 47.3GB, Context: 128K, License: apache-2.0, LLM Explorer Score: 0.27.

Agentic Axolotl Base model:finetune:warlordher... Base model:warlordhermes/magid... Conversational Deepseek-distill Lora Lora-merge Mistral Model-index Qlora Reasoning Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/groxaxo/MagiSeek-Pro-V1

MagiSeek Pro V1 Parameters and Internals

LLM Name	MagiSeek Pro V1
Repository 🤗	https://huggingface.co/groxaxo/MagiSeek-Pro-V1
Base Model(s)	WarlordHermes/Magidonia-24B-v4.3-creative-ORPO WarlordHermes/Magidonia-24B-v4.3-creative-ORPO
Model Size	24b
Required VRAM	47.3 GB
Updated	2026-07-17
Maintainer	groxaxo
Model Type	mistral
Model Files	4.9 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 3.8 GB: 10-of-10
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	5.10.2
Tokenizer Class	TokenizersBackend
Padding Token	<pad>
Vocabulary Size	131072
LoRA Model	Yes

Rank the MagiSeek Pro V1 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 MagiSeek Pro V1

Best Alternatives	Context / RAM	Downloads	Likes
...ral Nemo Instruct 24B Merge V1	1000K / 24.6 GB	9	0
Spoomplesmaxx Thrasher 24B	128K / 46.9 GB	932	3
Chaotic Order 24B V1	128K / 47.3 GB	479	0
...all 3.1 24B Instruct 2503 Text	128K / 47.3 GB	12	0
Ouroboros 24B V1.4	128K / 47.3 GB	290	5
Morbid Miasma 24B	128K / 47.3 GB	346	16
Doppelganger Twist 24B	128K / 47.3 GB	381	0
Celestial Order 24B V2	128K / 47.3 GB	127	3
Zepar 24B V1	128K / 47.3 GB	128	5
Slimaki Tavern 24B V1.3	128K / 47.3 GB	346	16

Note: green Score (e.g. "73.2") means that the model is better than groxaxo/MagiSeek-Pro-V1.