What are the hardware requirements for MN Maghin 12B?

MN Maghin 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 Maghin 12B and how large is it?

MN Maghin 12B is developed by rityak, 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 Maghin 12B?

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

MN Maghin 12B by rityak — VRAM 24.5GB, 1000K context

Name: MN Maghin 12B
Author: rityak

MN Maghin 12B is an open-source language model by rityak. Features: 12b LLM, VRAM: 24.5GB, Context: 1000K, Merged, LLM Explorer Score: 0.14.

Merged Model Arxiv:2306.01708 Arxiv:2311.03099 Autotrain compatible Base model:anthracite-org/magn... Base model:cognitivecomputatio... Base model:elinas/chronos-gold... Base model:nbeerbower/lyra-gut... Conversational Endpoints compatible Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/rityak/MN-Maghin-12B

MN Maghin 12B Parameters and Internals

Additional Notes

This model is a merge of several pre-trained language models using the DARE TIES merge method with specific parameters.

LLM Name	MN Maghin 12B
Repository 🤗	https://huggingface.co/rityak/MN-Maghin-12B
Base Model(s)	elinas/Chronos-Gold-12B-1.0 ...yra Gutenberg Mistral Nemo 12B cognitivecomputations/dolphin-2.9.3-mistral-nemo-12b anthracite-org/magnum-v2.5-12b-kto elinas/Chronos-Gold-12B-1.0 nbeerbower/Lyra-Gutenberg-mistral-nemo-12B cognitivecomputations/dolphin-2.9.3-mistral-nemo-12b anthracite-org/magnum-v2.5-12b-kto
Merged Model	Yes
Model Size	12b
Required VRAM	24.5 GB
Updated	2025-02-16
Maintainer	rityak
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	4.44.1
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<pad>
Vocabulary Size	131072
Torch Data Type	float16

Rank the MN Maghin 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 Maghin 12B

Best Alternatives	Context / RAM	Downloads	Likes
...r Nemo 12B Instruct R 21 09 24	1000K / 24.5 GB	396277	141
MN 12B Mag Mell R1	1000K / 24.5 GB	69558	238
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 rityak/MN-Maghin-12B.