What are the hardware requirements for Mistral Nemo Instruct 2407 Heretic V2?

Mistral Nemo Instruct 2407 Heretic V2 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 Instruct 2407 Heretic V2 and how large is it?

Mistral Nemo Instruct 2407 Heretic V2 is developed by 0xA50C1A1, a model with 12.2b 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 Instruct 2407 Heretic V2?

Mistral Nemo Instruct 2407 Heretic V2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Mistral Nemo Instruct 2407 Heretic V2 by 0xA50C1A1 — VRAM 24.5GB, 128K context

Name: Mistral Nemo Instruct 2407 Heretic V2
Author: 0xA50C1A1

Mistral Nemo Instruct 2407 Heretic V2 is an open-source language model by 0xA50C1A1. Features: 12.2b LLM, VRAM: 24.5GB, Context: 128K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.23.

Abliterated Base model:finetune:unsloth/mi... Base model:unsloth/mistral-nem... Conversational Decensored En Endpoints compatible Heretic Instruct Mistral Region:us Safetensors Uncensored Unsloth

Model Card on HF 🤗: https://huggingface.co/0xA50C1A1/Mistral-Nemo-Instruct-2407-Heretic-v2

Mistral Nemo Instruct 2407 Heretic V2 Parameters and Internals

LLM Name	Mistral Nemo Instruct 2407 Heretic V2
Repository 🤗	https://huggingface.co/0xA50C1A1/Mistral-Nemo-Instruct-2407-Heretic-v2
Base Model(s)	Mistral Nemo Instruct 2407 unsloth/Mistral-Nemo-Instruct-2407
Model Size	12.2b
Required VRAM	24.5 GB
Updated	2026-08-28
Maintainer	0xA50C1A1
Model Type	mistral
Instruction-Based	Yes
Model Files	24.5 GB
Supported Languages	en
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	5.3.0
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<pad>
Vocabulary Size	131072

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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

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