What are the hardware requirements for Mistral Nemo Gutenberg 12B V4?

Mistral Nemo Gutenberg 12B V4 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 Mistral Nemo Gutenberg 12B V4 and how large is it?

Mistral Nemo Gutenberg 12B V4 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 Gutenberg 12B V4?

Mistral Nemo Gutenberg 12B V4 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Mistral Nemo Gutenberg 12B V4 by nbeerbower — VRAM 24.5GB, 1000K context

Name: Mistral Nemo Gutenberg 12B V4
Author: nbeerbower

Mistral Nemo Gutenberg 12B V4 is an open-source language model by nbeerbower. Features: 12b LLM, VRAM: 24.5GB, Context: 1000K, License: apache-2.0, LLM Explorer Score: 0.19.

Base model:finetune:thedrummer... Base model:thedrummer/rocinant... Conversational Dataset:jondurbin/gutenberg-dp... Deploy:azure Endpoints compatible Mistral Model-index Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/nbeerbower/mistral-nemo-gutenberg-12B-v4

Mistral Nemo Gutenberg 12B V4 Parameters and Internals

Training Details

Data Sources:

jondurbin/gutenberg-dpo-v0.1

Methodology:

Finetuned using an A100 on Google Colab for 3 epochs

Hardware Used:

A100

LLM Name	Mistral Nemo Gutenberg 12B V4
Repository 🤗	https://huggingface.co/nbeerbower/mistral-nemo-gutenberg-12B-v4
Base Model(s)	Rocinante 12B V1 TheDrummer/Rocinante-12B-v1
Model Size	12b
Required VRAM	24.5 GB
Updated	2026-08-07
Maintainer	nbeerbower
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
License	apache-2.0
Context Length	1024000
Model Max Length	1024000
Transformers Version	4.44.1
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<pad>
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the Mistral Nemo Gutenberg 12B V4 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

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Note: green Score (e.g. "73.2") means that the model is better than nbeerbower/mistral-nemo-gutenberg-12B-v4.