What are the hardware requirements for Mistral Nemo VICIOUS MESH 12B 2407?

Mistral Nemo VICIOUS MESH 12B 2407 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 Mistral Nemo VICIOUS MESH 12B 2407 and how large is it?

Mistral Nemo VICIOUS MESH 12B 2407 is developed by bamec66557, 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 VICIOUS MESH 12B 2407?

Mistral Nemo VICIOUS MESH 12B 2407 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Mistral Nemo VICIOUS MESH 12B 2407 by bamec66557 — VRAM 24.5GB, 128K context

Name: Mistral Nemo VICIOUS MESH 12B 2407
Author: bamec66557

Mistral Nemo VICIOUS MESH 12B 2407 is an open-source language model by bamec66557. Features: 12b LLM, VRAM: 24.5GB, Context: 128K, License: apache-2.0, Merged, LLM Explorer Score: 0.24.

Merged Model Base model:bamec66557/vicious ... Base model:bamec66557/vicious ... Conversational Endpoints compatible Mistral Model-index Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/bamec66557/Mistral-Nemo-VICIOUS_MESH-12B-2407

Mistral Nemo VICIOUS MESH 12B 2407 Parameters and Internals

LLM Name	Mistral Nemo VICIOUS MESH 12B 2407
Repository 🤗	https://huggingface.co/bamec66557/Mistral-Nemo-VICIOUS_MESH-12B-2407
Base Model(s)	VICIOUS MESH 12B BETA VICIOUS MESH 12B OMEGA bamec66557/VICIOUS_MESH-12B-BETA bamec66557/VICIOUS_MESH-12B-OMEGA
Merged Model	Yes
Model Size	12b
Required VRAM	24.5 GB
Updated	2026-07-31
Maintainer	bamec66557
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	131072
Model Max Length	131072
Transformers Version	4.46.2
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the Mistral Nemo VICIOUS MESH 12B 2407 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 bamec66557/Mistral-Nemo-VICIOUS_MESH-12B-2407.