What are the hardware requirements for Arcanum 12B?

Arcanum 12B requires approximately 24.5 GB of VRAM and supports a context window of 1000K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Arcanum 12B and how large is it?

Arcanum 12B is developed by Xclbr7, 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 Arcanum 12B?

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

Arcanum 12B by Xclbr7 — VRAM 24.5GB, 1000K context

Name: Arcanum 12B
Author: Xclbr7

Arcanum 12B is an open-source language model by Xclbr7. Features: 12b LLM, VRAM: 24.5GB, Context: 1000K, License: mit, Merged, LLM Explorer Score: 0.2.

Merged Model Endpoints compatible Mistral Model-index Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Xclbr7/Arcanum-12b

Arcanum 12B Parameters and Internals

Model Type

Causal Language Model

Use Cases

Primary Use Cases:

Conversation with different personas

Additional Notes

Arcanum-12b is a merged large language model combining TheDrummer/Rocinante-12B-v1.1 and MarinaraSpaghetti/NemoMix-Unleashed-12B.

Supported Languages

English (primarily)

Training Details

Methodology:

The model was created by merging two existing 12B models using a novel merging technique.

Model Architecture:

Transformer-based language model

Responsible Ai Considerations

Mitigation Strategies:

Model may inherit biases and limitations from parent models. Users should be aware of potential biases.

LLM Name	Arcanum 12B
Repository 🤗	https://huggingface.co/Xclbr7/Arcanum-12b
Merged Model	Yes
Model Size	12b
Required VRAM	24.5 GB
Updated	2026-07-29
Maintainer	Xclbr7
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
Model Architecture	MistralForCausalLM
License	mit
Context Length	1024000
Model Max Length	1024000
Transformers Version	4.44.2
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	131072
Torch Data Type	float16

Rank the Arcanum 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 Arcanum 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
Captain Eris BMO Violent 12B	1000K / 24.5 GB	305	2
Qliphoth 12B V1.2	1000K / 24.5 GB	107	7
Dans SakuraKaze V1.0.0 12B	1000K / 24.5 GB	7	21
...n Eris BMO Violent GRPO V0.420	1000K / 24.5 GB	92	3
Mistral Nemo Kartoffel 12B	1000K / 24.5 GB	47	6

Note: green Score (e.g. "73.2") means that the model is better than Xclbr7/Arcanum-12b.