What are the hardware requirements for Mistral Large Instruct 2407?

Mistral Large Instruct 2407 requires approximately 226.7 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 Mistral Large Instruct 2407 and how large is it?

Mistral Large Instruct 2407 is developed by SillyTilly, a model with 122.6b 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 Large Instruct 2407?

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

Mistral Large Instruct 2407 by SillyTilly — VRAM 226.7GB, 32K context

Name: Mistral Large Instruct 2407
Author: SillyTilly

Mistral Large Instruct 2407 is an open-source language model by SillyTilly. Features: 122.6b LLM, VRAM: 226.7GB, Context: 32K, License: other, Instruction-Based, LLM Explorer Score: 0.13.

De En Endpoints compatible Es Fr Instruct It Ja Ko Mistral Pt Region:us Ru Safetensors Sharded Tensorflow Zh

Model Card on HF 🤗: https://huggingface.co/SillyTilly/Mistral-Large-Instruct-2407

Mistral Large Instruct 2407 Parameters and Internals

LLM Name	Mistral Large Instruct 2407
Repository 🤗	https://huggingface.co/SillyTilly/Mistral-Large-Instruct-2407
Model Size	122.6b
Required VRAM	226.7 GB
Updated	2026-07-21
Maintainer	SillyTilly
Model Type	mistral
Instruction-Based	Yes
Model Files	4.8 GB: 1-of-51 4.8 GB: 2-of-51 4.8 GB: 3-of-51 4.9 GB: 4-of-51 4.8 GB: 5-of-51 4.8 GB: 6-of-51 4.8 GB: 7-of-51 4.9 GB: 8-of-51 4.8 GB: 9-of-51 4.8 GB: 10-of-51 4.8 GB: 11-of-51 4.9 GB: 12-of-51 4.8 GB: 13-of-51 4.8 GB: 14-of-51 4.8 GB: 15-of-51 4.9 GB: 16-of-51 4.8 GB: 17-of-51 4.8 GB: 18-of-51 4.8 GB: 19-of-51 4.9 GB: 20-of-51 4.8 GB: 21-of-51 4.8 GB: 22-of-51 4.8 GB: 23-of-51 4.9 GB: 24-of-51 4.8 GB: 25-of-51 4.8 GB: 26-of-51 4.8 GB: 27-of-51 4.9 GB: 28-of-51 4.8 GB: 29-of-51 4.8 GB: 30-of-51 4.8 GB: 31-of-51 4.9 GB: 32-of-51 4.8 GB: 33-of-51 4.8 GB: 34-of-51 4.8 GB: 35-of-51 4.9 GB: 36-of-51 4.8 GB: 37-of-51 4.8 GB: 38-of-51 4.8 GB: 39-of-51 4.9 GB: 40-of-51 4.8 GB: 41-of-51 4.8 GB: 42-of-51 4.8 GB: 43-of-51 4.9 GB: 44-of-51 4.8 GB: 45-of-51 4.8 GB: 46-of-51 4.8 GB: 47-of-51
Supported Languages	en fr de es it pt zh ja ru ko
Model Architecture	MistralForCausalLM
License	other
Context Length	32768
Model Max Length	32768
Transformers Version	4.42.3
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32768
Torch Data Type	bfloat16

Rank the Mistral Large Instruct 2407 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 Mistral Large Instruct 2407

Best Alternatives	Context / RAM	Downloads	Likes
Mistral Large Instruct 2407	128K / 226.7 GB	4983	865
...CriminalComputing.LARGE.2026.3	128K / 217.2 GB	1981	63
Writer Large 2411 V2.1	128K / 222 GB	4	18
...arge Instruct 2407 XMADai INT4	128K / 31.7 GB	8	7
...istral Large Instruct 2407 FP8	128K / 123.6 GB	20	10
...istral Large Instruct 2407 AWQ	128K / 64.5 GB	50	11

Note: green Score (e.g. "73.2") means that the model is better than SillyTilly/Mistral-Large-Instruct-2407.