What are the hardware requirements for Ministral 8B Instruct 2410 Abliterated?

Ministral 8B Instruct 2410 Abliterated requires approximately 16.1 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Ministral 8B Instruct 2410 Abliterated and how large is it?

Ministral 8B Instruct 2410 Abliterated is developed by realoperator42, a model with 8b 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 Ministral 8B Instruct 2410 Abliterated?

Ministral 8B Instruct 2410 Abliterated is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Ministral 8B Instruct 2410 Abliterated by realoperator42 — VRAM 16.1GB, 32K context

Name: Ministral 8B Instruct 2410 Abliterated
Author: realoperator42

Ministral 8B Instruct 2410 Abliterated is an open-source language model by realoperator42. Features: 8b LLM, VRAM: 16.1GB, Context: 32K, Instruction-Based, LLM Explorer Score: 0.2.

Abliterated Base model:finetune:mistralai/... Base model:mistralai/ministral... Conversational Dataset:n/a De En Es Fr Instruct It Ja Ministral Mistral Pt Region:us Ru Safetensors Sharded Tensorflow Uncensored Zh

Model Card on HF 🤗: https://huggingface.co/realoperator42/ministral-8B-Instruct-2410-abliterated

Ministral 8B Instruct 2410 Abliterated Parameters and Internals

LLM Name	Ministral 8B Instruct 2410 Abliterated
Repository 🤗	https://huggingface.co/realoperator42/ministral-8B-Instruct-2410-abliterated
Base Model(s)	Ministral 8B Instruct 2410 mistralai/Ministral-8B-Instruct-2410
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-07-07
Maintainer	realoperator42
Model Type	mistral
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 5.0 GB: 3-of-4 1.1 GB: 4-of-4
Supported Languages	en fr de es it pt ru zh ja
Model Architecture	MistralForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.56.2
Tokenizer Class	LlamaTokenizerFast
Vocabulary Size	131072

Rank the Ministral 8B Instruct 2410 Abliterated 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

Best Alternatives to Ministral 8B Instruct 2410 Abliterated

Best Alternatives	Context / RAM	Downloads	Likes
Ministral 8B Instruct 2410 HF	32K / 32 GB	21	12
Ministrations 8B V1	32K / 16.1 GB	20	29
Ministral 8B Slerp	32K / 29.2 GB	7	0
Forgotten Safeword 8B V2.2	32K / 16.1 GB	4	1
DeepOpus 1 8B Preview	32K / 16.1 GB	75	2
DeepNeo 1 8B Preview	32K / 16.1 GB	63	2
Bigger Body 8B	32K / 16.1 GB	11	7
Reflect Single Mini8B SftT12	32K / 16.1 GB	5	0
...ct Mini8B MistlrgOrcl460kSftT2	32K / 16.1 GB	5	0
...ct Mini8B MistlrgOrcl460kSftT1	32K / 16.1 GB	5	0

Note: green Score (e.g. "73.2") means that the model is better than realoperator42/ministral-8B-Instruct-2410-abliterated.