What are the hardware requirements for Qwen2.5 72B 0.6x Instruct?

Qwen2.5 72B 0.6x Instruct requires approximately 146.1 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 Qwen2.5 72B 0.6x Instruct and how large is it?

Qwen2.5 72B 0.6x Instruct is developed by ddh0, 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 Qwen2.5 72B 0.6x Instruct?

Qwen2.5 72B 0.6x Instruct is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen2.5 72B 0.6x Instruct by ddh0 — VRAM 146.1GB, 32K context

Name: Qwen2.5 72B 0.6x Instruct
Author: ddh0

Qwen2.5 72B 0.6x Instruct is an open-source language model by ddh0. Features: 72b LLM, VRAM: 146.1GB, Context: 32K, License: other, Instruction-Based, Merged, LLM Explorer Score: 0.15.

Merged Model Ara Base model:qwen/qwen2.5-72b Base model:qwen/qwen2.5-72b-in... Chat Conversational Deu Endpoints compatible Eng Fra Instruct Ita Jpn Kor Por Qwen2 Region:us Rus Safetensors Sharded Spa Tensorflow Tha Vie Zho

Model Card on HF 🤗: https://huggingface.co/ddh0/Qwen2.5-72B-0.6x-Instruct

Qwen2.5 72B 0.6x Instruct Parameters and Internals

LLM Name	Qwen2.5 72B 0.6x Instruct
Repository 🤗	https://huggingface.co/ddh0/Qwen2.5-72B-0.6x-Instruct
Base Model(s)	Qwen/Qwen2.5-72B Qwen/Qwen2.5-72B-Instruct Qwen/Qwen2.5-72B Qwen/Qwen2.5-72B-Instruct
Merged Model	Yes
Model Size	72b
Required VRAM	146.1 GB
Updated	2026-06-03
Maintainer	ddh0
Model Type	qwen2
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-31 5.0 GB: 2-of-31 4.8 GB: 3-of-31 4.8 GB: 4-of-31 4.8 GB: 5-of-31 5.0 GB: 6-of-31 4.8 GB: 7-of-31 4.8 GB: 8-of-31 4.8 GB: 9-of-31 5.0 GB: 10-of-31 4.8 GB: 11-of-31 4.8 GB: 12-of-31 4.8 GB: 13-of-31 5.0 GB: 14-of-31 4.8 GB: 15-of-31 4.8 GB: 16-of-31 4.8 GB: 17-of-31 5.0 GB: 18-of-31 4.8 GB: 19-of-31 4.8 GB: 20-of-31 4.8 GB: 21-of-31 5.0 GB: 22-of-31 4.8 GB: 23-of-31 4.8 GB: 24-of-31 4.8 GB: 25-of-31 5.0 GB: 26-of-31 4.8 GB: 27-of-31 4.8 GB: 28-of-31 4.8 GB: 29-of-31 5.0 GB: 30-of-31 0.3 GB: 31-of-31
Supported Languages	en
Model Architecture	Qwen2ForCausalLM
License	other
Context Length	32768
Model Max Length	32768
Transformers Version	4.43.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen2.5 72B 0.6x Instruct 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 Qwen2.5 72B 0.6x Instruct

Best Alternatives	Context / RAM	Downloads	Likes
EVA Qwen2.5 72B V0.2	128K / 146 GB	159	22
AceInstruct 72B	128K / 146 GB	88	18
...n2.5 72B 2x Instruct TIES V1.0	128K / 146.1 GB	74	1
...2B PT BR Instruct Experimental	128K / 146 GB	20	0
... BI Qwen2.5 72B PT BR Instruct	128K / 146 GB	5	0
...A Abliterated TIES Qwen2.5 72B	128K / 146.1 GB	8	1
72B Qwen2.5 Kunou V1	128K / 146 GB	77	26
EVA Qwen2.5 72B V0.1	128K / 146 GB	17	19
EVA Qwen2.5 72B V0.0	128K / 146 GB	10	5
Qwen2 72B Instruct	32K / 145.5 GB	61318	718

Note: green Score (e.g. "73.2") means that the model is better than ddh0/Qwen2.5-72B-0.6x-Instruct.