What are the hardware requirements for Hexis Vesper 12B?

Hexis Vesper 12B requires approximately 24.5 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 Hexis Vesper 12B and how large is it?

Hexis Vesper 12B is developed by WasamiKirua, a model with 12b 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 Hexis Vesper 12B?

Hexis Vesper 12B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Hexis Vesper 12B by WasamiKirua — VRAM 24.5GB, 128K context

Name: Hexis Vesper 12B
Author: WasamiKirua

Hexis Vesper 12B is an open-source language model by WasamiKirua. Features: 12b LLM, VRAM: 24.5GB, Context: 128K, Merged, LLM Explorer Score: 0.24.

Merged Model Base model:dphn/dolphin-2.9.3-... Base model:fallenmerick/mn-vio... Base model:mistralai/mistral-n... Conversational En Endpoints compatible It Melancholic Mistral Region:us Roleplay Safetensors Sentient Sharded Tensorflow Untimate

Model Card on HF 🤗: https://huggingface.co/WasamiKirua/Hexis-Vesper-12B

Hexis Vesper 12B Parameters and Internals

LLM Name	Hexis Vesper 12B
Repository 🤗	https://huggingface.co/WasamiKirua/Hexis-Vesper-12B
Base Model(s)	Mistral Nemo Base 2407 MN Violet Lotus 12B cognitivecomputations/dolphin-2.9.3-mistral-nemo-12b mistralai/Mistral-Nemo-Base-2407 FallenMerick/MN-Violet-Lotus-12B cognitivecomputations/dolphin-2.9.3-mistral-nemo-12b
Merged Model	Yes
Model Size	12b
Required VRAM	24.5 GB
Updated	2026-08-01
Maintainer	WasamiKirua
Model Type	mistral
Model Files	4.9 GB: 1-of-5 4.9 GB: 2-of-5 4.9 GB: 3-of-5 4.9 GB: 4-of-5 4.9 GB: 5-of-5
Supported Languages	it en
Model Architecture	MistralForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	5.7.0
Tokenizer Class	TokenizersBackend
Vocabulary Size	131074

Rank the Hexis Vesper 12B 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 Hexis Vesper 12B

Best Alternatives	Context / RAM	Downloads	Likes
...r Nemo 12B Instruct R 21 09 24	1000K / 24.5 GB	396277	141
MN 12B Mag Mell R1	1000K / 24.5 GB	69558	238
Riverfish Rocinante 12B SFT	1000K / 49.4 GB	166	1
Riverfish Rocinante 12B	1000K / 49.4 GB	111	1
MN 12B LucidFaun RP RU	1000K / 24.5 GB	1005	6
Qliphoth 12B V1.2	1000K / 24.5 GB	107	7
Captain Eris BMO Violent 12B	1000K / 24.5 GB	305	2
Dans SakuraKaze V1.0.0 12B	1000K / 24.5 GB	7	21
Shining Gold Sakura 12B	1000K / 24.5 GB	52	2
...n Eris BMO Violent GRPO V0.420	1000K / 24.5 GB	92	3

Note: green Score (e.g. "73.2") means that the model is better than WasamiKirua/Hexis-Vesper-12B.