What are the hardware requirements for Dans Picaro MagNante V4 V1 12B V3?

Dans Picaro MagNante V4 V1 12B V3 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 Dans Picaro MagNante V4 V1 12B V3 and how large is it?

Dans Picaro MagNante V4 V1 12B V3 is developed by BarBarickoza, 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 Dans Picaro MagNante V4 V1 12B V3?

Dans Picaro MagNante V4 V1 12B V3 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Dans Picaro MagNante V4 V1 12B V3 by BarBarickoza — VRAM 24.5GB, 1000K context

Name: Dans Picaro MagNante V4 V1 12B V3
Author: BarBarickoza

Dans Picaro MagNante V4 V1 12B V3 is an open-source language model by BarBarickoza. Features: 12b LLM, VRAM: 24.5GB, Context: 1000K, Merged, LLM Explorer Score: 0.16.

Merged Model Arxiv:2306.01708 Base model:anthracite-org/magn... Base model:pocketdoc/dans-pers... Base model:thedrummer/rocinant... Base model:trappu/nemo-picaro-... Conversational Endpoints compatible Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/BarBarickoza/Dans-Picaro-MagNante-v4-v1-12b-V3

Dans Picaro MagNante V4 V1 12B V3 Parameters and Internals

LLM Name	Dans Picaro MagNante V4 V1 12B V3
Repository 🤗	https://huggingface.co/BarBarickoza/Dans-Picaro-MagNante-v4-v1-12b-V3
Base Model(s)	PocketDoc/Dans-PersonalityEngine-V1.1.0-12b Nemo Picaro 12B Magnum V4 12B Rocinante 12B V1 PocketDoc/Dans-PersonalityEngine-V1.1.0-12b Trappu/Nemo-Picaro-12B anthracite-org/magnum-v4-12b TheDrummer/Rocinante-12B-v1
Merged Model	Yes
Model Size	12b
Required VRAM	24.5 GB
Updated	2026-08-25
Maintainer	BarBarickoza
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
Context Length	1024000
Model Max Length	1024000
Transformers Version	4.48.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<pad>
Vocabulary Size	131075
Torch Data Type	bfloat16

Rank the Dans Picaro MagNante V4 V1 12B V3 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 Dans Picaro MagNante V4 V1 12B V3

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...r Nemo 12B Instruct R 21 09 24	1000K / 24.5 GB	396277	141
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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
Shining Gold Sakura 12B	1000K / 24.5 GB	52	2
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

Note: green Score (e.g. "73.2") means that the model is better than BarBarickoza/Dans-Picaro-MagNante-v4-v1-12b-V3.