What are the hardware requirements for Mistral Nemo Kartoffel PRUNE3?

Mistral Nemo Kartoffel PRUNE3 requires approximately 16.9 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 Mistral Nemo Kartoffel PRUNE3 and how large is it?

Mistral Nemo Kartoffel PRUNE3 is developed by nbeerbower, 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 Mistral Nemo Kartoffel PRUNE3?

Mistral Nemo Kartoffel PRUNE3 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Mistral Nemo Kartoffel PRUNE3 by nbeerbower — VRAM 16.9GB, 1000K context

Name: Mistral Nemo Kartoffel PRUNE3
Author: nbeerbower

Mistral Nemo Kartoffel PRUNE3 is an open-source language model by nbeerbower. Features: 12b LLM, VRAM: 16.9GB, Context: 1000K, Merged, LLM Explorer Score: 0.16.

Merged Model Base model:finetune:nbeerbower... Base model:nbeerbower/mistral-... Conversational Endpoints compatible Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/nbeerbower/mistral-nemo-kartoffel-PRUNE3

Mistral Nemo Kartoffel PRUNE3 Parameters and Internals

LLM Name	Mistral Nemo Kartoffel PRUNE3
Repository 🤗	https://huggingface.co/nbeerbower/mistral-nemo-kartoffel-PRUNE3
Base Model(s)	Mistral Nemo Kartoffel 12B nbeerbower/mistral-nemo-kartoffel-12B
Merged Model	Yes
Model Size	12b
Required VRAM	16.9 GB
Updated	2026-07-21
Maintainer	nbeerbower
Model Type	mistral
Model Files	4.9 GB: 1-of-4 4.9 GB: 2-of-4 4.9 GB: 3-of-4 2.2 GB: 4-of-4
Model Architecture	MistralForCausalLM
Context Length	1024000
Model Max Length	1024000
Transformers Version	4.49.0.dev0
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<pad>
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the Mistral Nemo Kartoffel PRUNE3 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 Mistral Nemo Kartoffel PRUNE3

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...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 nbeerbower/mistral-nemo-kartoffel-PRUNE3.