What are the hardware requirements for MN Sappho G3 12B?

MN Sappho G3 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 MN Sappho G3 12B and how large is it?

MN Sappho G3 12B is developed by mergekit-community, 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 MN Sappho G3 12B?

MN Sappho G3 12B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

MN Sappho G3 12B by mergekit-community — VRAM 24.5GB, 128K context

Name: MN Sappho G3 12B
Author: mergekit-community

MN Sappho G3 12B is an open-source language model by mergekit-community. Features: 12b LLM, VRAM: 24.5GB, Context: 128K, Instruction-Based, Merged, LLM Explorer Score: 0.17.

Merged Model Arxiv:2403.19522 Base model:anthracite-org/magn... Base model:davidau/mn-dark-pla... Base model:inflatebot/mn-12b-m... Base model:khetterman/abominat... Base model:khetterman/darkatom... Base model:latitudegames/wayfa... Base model:mistralai/mistral-n... Base model:mistralai/mistral-n... Base model:nbeerbower/mistral-... Base model:pygmalionai/eleusis... Conversational Endpoints compatible Instruct Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mergekit-community/MN-Sappho-g3-12B

MN Sappho G3 12B Parameters and Internals

LLM Name	MN Sappho G3 12B
Repository 🤗	https://huggingface.co/mergekit-community/MN-Sappho-g3-12B
Base Model(s)	Wayfarer 12B MN Sappho J 12B AbominationScience 12B V4 MN Sappho G2 12B Mistral Nemo Base 2407 Mistral Nemo Instruct 2407 Mistral Nemo Wissenschaft 12B anthracite-org/magnum-v2.5-12b-kto MN Sappho L 12B Eleusis 12B DarkAtom 12B V3 MN Dark Planet TITAN 12B MN 12B Mag Mell R1 LatitudeGames/Wayfarer-12B mergekit-community/MN-Sappho-j-12B Khetterman/AbominationScience-12B-v4 mergekit-community/MN-Sappho-g2-12B mistralai/Mistral-Nemo-Base-2407 mistralai/Mistral-Nemo-Instruct-2407 nbeerbower/mistral-nemo-wissenschaft-12B anthracite-org/magnum-v2.5-12b-kto mergekit-community/MN-Sappho-l-12B PygmalionAI/Eleusis-12B Khetterman/DarkAtom-12B-v3 DavidAU/MN-Dark-Planet-TITAN-12B inflatebot/MN-12B-Mag-Mell-R1
Merged Model	Yes
Model Size	12b
Required VRAM	24.5 GB
Updated	2026-07-22
Maintainer	mergekit-community
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
Model Architecture	MistralForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.48.2
Tokenizer Class	GPT2Tokenizer
Padding Token	<pad>
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the MN Sappho G3 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 MN Sappho G3 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	82	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 mergekit-community/MN-Sappho-g3-12B.