What are the hardware requirements for Vesper Zenith 12B?

Vesper Zenith 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 Vesper Zenith 12B and how large is it?

Vesper Zenith 12B is developed by DarkArtsForge, 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 Vesper Zenith 12B?

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

Vesper Zenith 12B by DarkArtsForge — VRAM 24.5GB, 128K context

Name: Vesper Zenith 12B
Author: DarkArtsForge

Vesper Zenith 12B is an open-source language model by DarkArtsForge. Features: 12b LLM, VRAM: 24.5GB, Context: 128K, License: apache-2.0, Instruction-Based, Merged, LLM Explorer Score: 0.24.

Merged Model Arxiv:2406.11617 Base model:darkartsforge/mn-ra... Base model:lambent/arsenic-sha... Base model:mistralai/mistral-n... Base model:retreatcost/evertid... Base model:wokeai/tankie-dpe-1... Conversational Creative Creative-roleplay Creative-writing Dataset:occultai/illuminati im... Della En Endpoints compatible Instruct Mistral Nemo Region:us Roleplay Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/DarkArtsForge/Vesper-Zenith-12B

Vesper Zenith 12B Parameters and Internals

LLM Name	Vesper Zenith 12B
Repository 🤗	https://huggingface.co/DarkArtsForge/Vesper-Zenith-12B
Base Model(s)	Mistral Nemo Instruct 2407 MN Raven 12B V1 Lambent/Arsenic-Shahrazad-12B-v4.4 Evertide RX 12B Tankie DPE 12B SFT V2 mistralai/Mistral-Nemo-Instruct-2407 DarkArtsForge/MN-Raven-12B-v1 Lambent/Arsenic-Shahrazad-12B-v4.4 Retreatcost/Evertide-RX-12B WokeAI/Tankie-DPE-12B-SFT-v2
Merged Model	Yes
Model Size	12b
Required VRAM	24.5 GB
Updated	2026-09-16
Maintainer	DarkArtsForge
Model Type	mistral
Instruction-Based	Yes
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	en
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.56.1
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	131075

Rank the Vesper Zenith 12B 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 Vesper Zenith 12B

Best Alternatives	Context / RAM	Downloads	Likes
...r Nemo 12B Instruct R 21 09 24	1000K / 24.5 GB	396277	141
Qliphoth 12B V1.1	1000K / 24.5 GB	22	3
Qliphoth 12B V1	1000K / 24.5 GB	26	2
SauerkrautLM Nemo 12B Instruct	1000K / 24.5 GB	1473	22
Magnum V4 12B	1000K / 24.5 GB	1116	54
MN Slush	1000K / 24.5 GB	181	32
...g M Claude Opus High Reasoning	1000K / 24.5 GB	107	3
ChatWaifu V1.4	1000K / 24.5 GB	335	20
ChatWaifu 12B V2.0	1000K / 24.5 GB	175	22
Mistral Nemo Bophades 12B	1000K / 24.5 GB	18	9

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