What are the hardware requirements for Mistral Small 3.2 24B Instruct 2506 Text Only Heretic?

Mistral Small 3.2 24B Instruct 2506 Text Only Heretic requires approximately 47.3 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.

How does Mistral Small 3.2 24B Instruct 2506 Text Only Heretic perform on standard benchmarks?

Mistral Small 3.2 24B Instruct 2506 Text Only Heretic has the following published scores: LMSYS ELO 1335. Compare against reference models on this page or on the LLM Explorer leaderboards.

Mistral Small 3.2 24B Instruct 2506 Text Only Heretic by arnomatic — VRAM 47.3GB, 128K context

Name: Mistral Small 3.2 24B Instruct 2506 Text Only Heretic
Author: arnomatic

Mistral Small 3.2 24B Instruct 2506 Text Only Heretic is an open-source language model by arnomatic. Features: 24b LLM, VRAM: 47.3GB, Context: 128K, Quantized, Instruction-Based, LLM Explorer Score: 0.35, ELO: 1335.

Abliterated Base model:mistralai/mistral-s... Base model:quantized:mistralai... Decensored Gguf Heretic Instruct Mistral Quantized Region:us Safetensors Sharded Tensorflow Uncensored

Model Card on HF 🤗: https://huggingface.co/arnomatic/Mistral-Small-3.2-24B-Instruct-2506-Text-Only-heretic

Mistral Small 3.2 24B Instruct 2506 Text Only Heretic Benchmarks

LMSys ELO 1335 vs 1272 (so35) 5%

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Mistral Small 3.2 24B Instruct 2506 Text Only Heretic Parameters and Internals

LLM Name	Mistral Small 3.2 24B Instruct 2506 Text Only Heretic
Repository 🤗	https://huggingface.co/arnomatic/Mistral-Small-3.2-24B-Instruct-2506-Text-Only-heretic
Base Model(s)	mistralai/Mistral-Small-3.2-24B-Instruct-2506 mistralai/Mistral-Small-3.2-24B-Instruct-2506
Model Size	24b
Required VRAM	47.3 GB
Updated	2026-07-30
Maintainer	arnomatic
Model Type	mistral
Instruction-Based	Yes
Model Files	0.9 GB 4.8 GB: 1-of-10 4.8 GB: 2-of-10 4.8 GB: 3-of-10 4.9 GB: 4-of-10 4.8 GB: 5-of-10 4.8 GB: 6-of-10 4.9 GB: 7-of-10 4.8 GB: 8-of-10 4.8 GB: 9-of-10 3.9 GB: 10-of-10
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	MistralForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.57.1
Tokenizer Class	LlamaTokenizerFast
Padding Token	<pad>
Vocabulary Size	131072

Rank the Mistral Small 3.2 24B Instruct 2506 Text Only Heretic 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

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