What are the hardware requirements for MN Chinofun 12B 4.1?

MN Chinofun 12B 4.1 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 Chinofun 12B 4.1 and how large is it?

MN Chinofun 12B 4.1 is developed by djuna, 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 Chinofun 12B 4.1?

MN Chinofun 12B 4.1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

MN Chinofun 12B 4.1 by djuna — VRAM 24.5GB, 128K context

Name: MN Chinofun 12B 4.1
Author: djuna

MN Chinofun 12B 4.1 is an open-source language model by djuna. Features: 12b LLM, VRAM: 24.5GB, Context: 128K, Merged, LLM Explorer Score: 0.16.

Merged Model Arxiv:2408.07990 Base model:arliai/mistral-nemo... Base model:galrionsoftworks/ca... Base model:grimjim/magnum-twil... Base model:nitral-ai/wayfarer ... Base model:rozgrov/nemodori-v0... Base model:spow12/chatwaifu v1... Conversational Endpoints compatible Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/djuna/MN-Chinofun-12B-4.1

MN Chinofun 12B 4.1 Parameters and Internals

LLM Name	MN Chinofun 12B 4.1
Repository 🤗	https://huggingface.co/djuna/MN-Chinofun-12B-4.1
Base Model(s)	Wayfarer Eris Noctis 12B ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.3 Magnum Twilight 12B RozGrov/NemoDori-v0.2.2-12B-MN-ties spow12/ChatWaifu_v1.4 Canidori 12B V1 Nitral-AI/Wayfarer_Eris_Noctis-12B ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.3 grimjim/magnum-twilight-12b RozGrov/NemoDori-v0.2.2-12B-MN-ties spow12/ChatWaifu_v1.4 GalrionSoftworks/Canidori-12B-v1
Merged Model	Yes
Model Size	12b
Required VRAM	24.5 GB
Updated	2026-08-07
Maintainer	djuna
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	131072
Model Max Length	131072
Transformers Version	4.48.1
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<pad>
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the MN Chinofun 12B 4.1 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 Chinofun 12B 4.1

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 djuna/MN-Chinofun-12B-4.1.