What are the hardware requirements for Qwen2 72B Instruct GGUF?

Qwen2 72B Instruct GGUF requires approximately 13.2 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 Qwen2 72B Instruct GGUF and how large is it?

Qwen2 72B Instruct GGUF is developed by second-state, a model with 72b 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 Qwen2 72B Instruct GGUF?

Qwen2 72B Instruct GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen2 72B Instruct GGUF by second-state — VRAM 13.2GB, 32K context

Name: Qwen2 72B Instruct GGUF
Author: second-state

Qwen2 72B Instruct GGUF is an open-source language model by second-state. Features: 72b LLM, VRAM: 13.2GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.13.

Base model:quantized:qwen/qwen... Base model:qwen/qwen2-72b-inst... Chat Conversational En Endpoints compatible Fp16 Gguf Instruct Q2 Q5 0 Quantized Qwen2 Region:us

Model Card on HF 🤗: https://huggingface.co/second-state/Qwen2-72B-Instruct-GGUF

Qwen2 72B Instruct GGUF Parameters and Internals

Model Type

text-generation

Supported Languages

English (Full supported)

LLM Name	Qwen2 72B Instruct GGUF
Repository 🤗	https://huggingface.co/second-state/Qwen2-72B-Instruct-GGUF
Model Name	Qwen2-72B-Instruct
Model Creator	Qwen
Base Model(s)	Qwen2 72B Instruct Qwen/Qwen2-72B-Instruct
Model Size	72b
Required VRAM	13.2 GB
Updated	2026-08-06
Maintainer	second-state
Model Type	qwen2
Instruction-Based	Yes
Model Files	29.8 GB 39.5 GB 37.7 GB 34.5 GB 41.2 GB 47.4 GB 43.9 GB 32.2 GB: 1-of-2 18.0 GB: 2-of-2 32.2 GB: 1-of-2 22.3 GB: 2-of-2 32.1 GB: 1-of-2 19.3 GB: 2-of-2 32.2 GB: 1-of-2 32.2 GB: 2-of-2 32.1 GB: 1-of-3 32.0 GB: 2-of-3 13.2 GB: 3-of-3 31.9 GB: 1-of-5 32.1 GB: 2-of-5 32.1 GB: 3-of-5 32.1 GB: 4-of-5 17.3 GB: 5-of-5
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	fp16\|gguf\|q2\|q5_0\|q4_k\|q5_k\|q8_0
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.40.1
Vocabulary Size	152064
Torch Data Type	bfloat16

Rank the Qwen2 72B Instruct GGUF 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 Qwen2 72B Instruct GGUF

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2 72B Instruct GGUF	32K / 13.2 GB	103	0
...B Instruct 2.0bpw H Novel EXL2	125K / 23 GB	4	1
Qwen2 72B Instruct 4bit	32K / 40.9 GB	56	2
ECE ILAB Q1	32K / 77.8 GB	15	0
Qwen2.5 72B Instruct Bnb 4bit	32K / 41.4 GB	3470	8
Qwen2.5 72B Instruct 4bit	32K / 40.9 GB	1200	7
Athene V2 Chat 4.65bpw H6 EXL2	32K / 44.3 GB	6	6
Qwen2.5 72B Instruct 8bit	32K / 77.1 GB	614	3
Qwen2 72B Instruct Bpw5.5 EXL2	32K / 51.8 GB	1	1
...struct Mix Calibration 4B EXL2	32K / 38.8 GB	3	2

Note: green Score (e.g. "73.2") means that the model is better than second-state/Qwen2-72B-Instruct-GGUF.