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

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

MN Sappho J 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 J 12B?

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

MN Sappho J 12B by mergekit-community — VRAM 24.5GB, 1000K context

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

MN Sappho J 12B is an open-source language model by mergekit-community. Features: 12b LLM, VRAM: 24.5GB, Context: 1000K, Instruction-Based, Merged, LLM Explorer Score: 0.17.

Merged Model Arxiv:2403.19522 Base model:aleteian/darkcamelo... Base model:jtatman/mistral nem... Base model:khetterman/abominat... Base model:mistralai/mistral-n... Base model:mistralai/mistral-n... Base model:nbeerbower/mistral-... Conversational Endpoints compatible Instruct Mistral Region:us Safetensors Sharded Tensorflow

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

MN Sappho J 12B Parameters and Internals

LLM Name	MN Sappho J 12B
Repository 🤗	https://huggingface.co/mergekit-community/MN-Sappho-j-12B
Base Model(s)	Mistral Nemo Wissenschaft 12B ... 12b Reasoning Psychology Lora Mistral Nemo Instruct 2407 DarkCamelot MN Sappho E 12B MN Sappho G2 12B MN Sappho B 12B Mistral Nemo Base 2407 AbominationScience 12B V4 MN Sappho C 12B nbeerbower/mistral-nemo-wissenschaft-12B jtatman/mistral_nemo_12b_reasoning_psychology_lora mistralai/Mistral-Nemo-Instruct-2407 Aleteian/DarkCamelot mergekit-community/MN-Sappho-e-12B mergekit-community/MN-Sappho-g2-12B mergekit-community/MN-Sappho-b-12B mistralai/Mistral-Nemo-Base-2407 Khetterman/AbominationScience-12B-v4 mergekit-community/MN-Sappho-c-12B
Merged Model	Yes
Model Size	12b
Required VRAM	24.5 GB
Updated	2026-08-01
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	1024000
Model Max Length	1024000
Transformers Version	4.48.2
Tokenizer Class	GPT2Tokenizer
Padding Token	<pad>
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the MN Sappho J 12B 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 MN Sappho J 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-j-12B.