What are the hardware requirements for Ministral 3 8B Claude Opus Reasoning Distilled?

Ministral 3 8B Claude Opus Reasoning Distilled requires approximately 17.8 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Ministral 3 8B Claude Opus Reasoning Distilled and how large is it?

Ministral 3 8B Claude Opus Reasoning Distilled is developed by xtools-at, 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 3 8B Claude Opus Reasoning Distilled?

Ministral 3 8B Claude Opus Reasoning Distilled is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Ministral 3 8B Claude Opus Reasoning Distilled by xtools-at — VRAM 17.8GB

Name: Ministral 3 8B Claude Opus Reasoning Distilled
Author: xtools-at

Ministral 3 8B Claude Opus Reasoning Distilled is an open-source language model by xtools-at. Features: 8b LLM, VRAM: 17.8GB, License: apache-2.0.

Base model:finetune:unsloth/mi... Base model:unsloth/ministral-3... Chain-of-thought Claude-opus Conversational Dataset:roman1111111/claude-op... Dataset:teichai/claude-4.5-opu... Dataset:teichai/claude-opus-4.... Dataset:teichai/claude-sonnet-... En Endpoints compatible Image-text-to-text Lora Mistral-common Mistral3 Reasoning Reasoning-distillation Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/xtools-at/Ministral-3-8B-Claude-Opus-Reasoning-Distilled

Ministral 3 8B Claude Opus Reasoning Distilled Parameters and Internals

LLM Name	Ministral 3 8B Claude Opus Reasoning Distilled
Repository 🤗	https://huggingface.co/xtools-at/Ministral-3-8B-Claude-Opus-Reasoning-Distilled
Base Model(s)	Ministral 3 8B Reasoning 2512 unsloth/Ministral-3-8B-Reasoning-2512
Model Size	8b
Required VRAM	17.8 GB
Updated	2026-10-24
Maintainer	xtools-at
Model Type	mistral3
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 4.9 GB: 3-of-4 2.9 GB: 4-of-4
Supported Languages	en
Model Architecture	Mistral3ForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	5.3.0
Tokenizer Class	TokenizersBackend
Padding Token	<pad>
Torch Data Type	bfloat16

Rank the Ministral 3 8B Claude Opus Reasoning Distilled 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

Best Alternatives to Ministral 3 8B Claude Opus Reasoning Distilled

Best Alternatives	Context / RAM	Downloads	Likes
KomdigiITS 8B DFK CPT	0K / 17.8 GB	181	0
Ministral 3 8B Base 2512	0K / 17.8 GB	343	0
Ministral 3 8B Instruct 2512	0K / 16.9 GB	211	2
Ministral3 Gdpr Lora	0K / 17.8 GB	318	0
Ministral3 Gdpr Distilled	0K / 17.8 GB	116	0
...Instruct 2512 Unsloth Bnb 4bit	0K / 7.4 GB	2984	1
... 8B Base 2512 Unsloth Bnb 4bit	0K / 8.3 GB	766	0
...al 3 8B Instruct 2512 Bnb 4bit	0K / 6.8 GB	255	0
Scar 8B GGUF	0K / 0.9 GB	350	1
Amaretto 8B	0K / 17.8 GB	378	1

Note: green Score (e.g. "73.2") means that the model is better than xtools-at/Ministral-3-8B-Claude-Opus-Reasoning-Distilled.