What are the hardware requirements for Mistral Large Instruct 2407 AWQ?

Mistral Large Instruct 2407 AWQ requires approximately 64.5 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 Large Instruct 2407 AWQ and how large is it?

Mistral Large Instruct 2407 AWQ is developed by TechxGenus, 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.

How does Mistral Large Instruct 2407 AWQ perform on standard benchmarks?

Mistral Large Instruct 2407 AWQ has the following published scores: LMSYS ELO 1305. Compare against reference models on this page or on the LLM Explorer leaderboards.

Mistral Large Instruct 2407 AWQ by TechxGenus — VRAM 64.5GB, 128K context

Name: Mistral Large Instruct 2407 AWQ
Author: TechxGenus

Mistral Large Instruct 2407 AWQ is an open-source language model by TechxGenus. Features: 122.6b LLM, VRAM: 64.5GB, Context: 128K, License: other, Quantized, Instruction-Based, LLM Explorer Score: 0.27, ELO: 1305.

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

Mistral Large Instruct 2407 AWQ Benchmarks

LMSys ELO 1305 vs 1272 (so35) 2.6%

^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 Large Instruct 2407 AWQ Parameters and Internals

LLM Name	Mistral Large Instruct 2407 AWQ
Repository 🤗	https://huggingface.co/TechxGenus/Mistral-Large-Instruct-2407-AWQ
Model Size	122.6b
Required VRAM	64.5 GB
Updated	2026-08-02
Maintainer	TechxGenus
Model Type	mistral
Instruction-Based	Yes
Model Files	4.9 GB: 1-of-14 4.8 GB: 2-of-14 4.8 GB: 3-of-14 5.0 GB: 4-of-14 4.9 GB: 5-of-14 4.8 GB: 6-of-14 4.8 GB: 7-of-14 4.8 GB: 8-of-14 5.0 GB: 9-of-14 4.9 GB: 10-of-14 4.8 GB: 11-of-14 4.8 GB: 12-of-14 4.8 GB: 13-of-14 1.4 GB: 14-of-14
Supported Languages	en fr de es it pt zh ja ru ko
AWQ Quantization	Yes
Quantization Type	awq
Model Architecture	MistralForCausalLM
License	other
Context Length	131072
Model Max Length	131072
Transformers Version	4.43.2
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32768
Torch Data Type	float16

Rank the Mistral Large Instruct 2407 AWQ 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 Mistral Large Instruct 2407 AWQ

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
Mistral Large Instruct 2407	32K / 226.7 GB	13	2

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