What are the hardware requirements for RPLament 22B?

RPLament 22B requires approximately 44.7 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed RPLament 22B and how large is it?

RPLament 22B is developed by SvdH, a model with 22b 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 RPLament 22B?

RPLament 22B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

RPLament 22B by SvdH — VRAM 44.7GB, 32K context

Name: RPLament 22B
Author: SvdH

RPLament 22B is an open-source language model by SvdH. Features: 22b LLM, VRAM: 44.7GB, Context: 32K, License: other, Merged, LLM Explorer Score: 0.15.

Merged Model Arxiv:2306.01708 Arxiv:2311.03099 Base model:allura-org/ms-meado... Base model:anthracite-org/magn... Base model:arliai/mistral-smal... Base model:gryphe/pantheon-rp-... Base model:raifle/acolyte-22b Conversational Endpoints compatible Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/SvdH/RPLament-22B

RPLament 22B Parameters and Internals

LLM Name	RPLament 22B
Repository 🤗	https://huggingface.co/SvdH/RPLament-22B
Base Model(s)	MS Meadowlark 22B Gryphe/Pantheon-RP-1.6.2-22b-Small ArliAI/Mistral-Small-22B-ArliAI-RPMax-v1.1 Acolyte 22B Magnum V4 22B allura-org/MS-Meadowlark-22B Gryphe/Pantheon-RP-1.6.2-22b-Small ArliAI/Mistral-Small-22B-ArliAI-RPMax-v1.1 rAIfle/Acolyte-22B anthracite-org/magnum-v4-22b
Merged Model	Yes
Model Size	22b
Required VRAM	44.7 GB
Updated	2026-08-08
Maintainer	SvdH
Model Type	mistral
Model Files	4.9 GB: 1-of-10 4.9 GB: 2-of-10 5.0 GB: 3-of-10 5.0 GB: 4-of-10 4.9 GB: 5-of-10 5.0 GB: 6-of-10 5.0 GB: 7-of-10 4.9 GB: 8-of-10 5.0 GB: 9-of-10 0.1 GB: 10-of-10
Model Architecture	MistralForCausalLM
License	other
Context Length	32768
Model Max Length	32768
Transformers Version	4.45.2
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	32768
Torch Data Type	bfloat16

Rank the RPLament 22B 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 RPLament 22B

Best Alternatives	Context / RAM	Downloads	Likes
MS Schisandra 22B V0.2	128K / 44.7 GB	8	9
...ntheon RP Pure 1.6.2 22B Small	128K / 44.7 GB	17	35
MS Meadowlark 22B	128K / 44.7 GB	13	16
...rker The Final Abomination 22B	128K / 44.7 GB	6	6
...er The Final Transgression 22B	128K / 44.7 GB	3	3
...Darker The Final Directive 22B	128K / 44.7 GB	6	0
Retrograde Omega M 22B V1.0	128K / 44.7 GB	5	0
The Omega Directive M 22B V1.0	128K / 44.7 GB	12	2
MS Inky 2409 22B	128K / 44.7 GB	5	0
MS Springydragon 2409 22B	128K / 44.7 GB	8	0

Note: green Score (e.g. "73.2") means that the model is better than SvdH/RPLament-22B.