What are the hardware requirements for MS Schisandra 22B V0.3?

MS Schisandra 22B V0.3 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 MS Schisandra 22B V0.3 and how large is it?

MS Schisandra 22B V0.3 is developed by Nohobby, 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 MS Schisandra 22B V0.3?

MS Schisandra 22B V0.3 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

MS Schisandra 22B V0.3 by Nohobby — VRAM 44.7GB, 32K context

Name: MS Schisandra 22B V0.3
Author: Nohobby

MS Schisandra 22B V0.3 is an open-source language model by Nohobby. Features: 22b LLM, VRAM: 44.7GB, Context: 32K, License: other, Instruction-Based, Merged, LLM Explorer Score: 0.15.

Merged Model Base model:anthracite-org/magn... Base model:arliai/mistral-smal... Base model:envoid/mistral-smal... Base model:gryphe/pantheon-rp-... Base model:inferenceillusionis... Base model:invisietch/mis-fire... Base model:spow12/chatwaifu v2... Base model:thedrummer/cydonia-... Base model:toastypigeon/ms-mea... Base model:unsloth/mistral-sma... Conversational En Endpoints compatible Instruct Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Nohobby/MS-Schisandra-22B-v0.3

MS Schisandra 22B V0.3 Parameters and Internals

LLM Name	MS Schisandra 22B V0.3
Repository 🤗	https://huggingface.co/Nohobby/MS-Schisandra-22B-v0.3
Base Model(s)	Mistral Small Instruct 2409 TheDrummer/Cydonia-22B-v1.3 Gryphe/Pantheon-RP-Pure-1.6.2-22b-Small Magnum V4 22B ArliAI/Mistral-Small-22B-ArliAI-RPMax-v1.1 spow12/ChatWaifu_v2.0_22B Mistral Small NovusKyver SorcererLM 22B MS Meadowlark Alt 22B invisietch/MiS-Firefly-v0.2-22B unsloth/Mistral-Small-Instruct-2409 TheDrummer/Cydonia-22B-v1.3 Gryphe/Pantheon-RP-Pure-1.6.2-22b-Small anthracite-org/magnum-v4-22b ArliAI/Mistral-Small-22B-ArliAI-RPMax-v1.1 spow12/ChatWaifu_v2.0_22B Envoid/Mistral-Small-NovusKyver InferenceIllusionist/SorcererLM-22B ToastyPigeon/MS-Meadowlark-Alt-22B invisietch/MiS-Firefly-v0.2-22B
Merged Model	Yes
Model Size	22b
Required VRAM	44.7 GB
Updated	2026-07-11
Maintainer	Nohobby
Model Type	mistral
Instruction-Based	Yes
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
Supported Languages	en
Model Architecture	MistralForCausalLM
License	other
Context Length	32768
Model Max Length	32768
Transformers Version	4.46.3
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	32768
Torch Data Type	bfloat16

Rank the MS Schisandra 22B V0.3 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 MS Schisandra 22B V0.3

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
MS Inky 2409 22B	128K / 44.7 GB	5	0
MS Springydragon 2409 22B	128K / 44.7 GB	8	0
MS Moingooistral 2409 22B	128K / 44.7 GB	7	0
MS Quadrosiac 2409 22B	128K / 44.7 GB	6	0
... V4x1.6.2RP Cydonia VXXX 22B 8	128K / 44.7 GB	5	5
MS Fujin 2409 22B	128K / 44.7 GB	5	0
MS Dampf 2409 22B	128K / 44.7 GB	5	0

Note: green Score (e.g. "73.2") means that the model is better than Nohobby/MS-Schisandra-22B-v0.3.