What are the hardware requirements for Qwen2.5 72B Instruct Bnb 4bit?

Qwen2.5 72B Instruct Bnb 4bit requires approximately 41.4 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 Instruct Bnb 4bit and how large is it?

Qwen2.5 72B Instruct Bnb 4bit is developed by unsloth, 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 Instruct Bnb 4bit?

Qwen2.5 72B Instruct Bnb 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen2.5 72B Instruct Bnb 4bit by unsloth — VRAM 41.4GB, 32K context

Name: Qwen2.5 72B Instruct Bnb 4bit
Author: unsloth

Qwen2.5 72B Instruct Bnb 4bit is an open-source language model by unsloth. Features: 72b LLM, VRAM: 41.4GB, Context: 32K, License: other, Quantized, Instruction-Based, LLM Explorer Score: 0.17.

Arxiv:2309.00071 Arxiv:2407.10671 4-bit 4bit Ara Base model:quantized:qwen/qwen... Base model:qwen/qwen2.5-72b-in... Bitsandbytes Conversational Deu Endpoints compatible Eng Fra Instruct Ita Jpn Kor Por Quantized Qwen2 Region:us Rus Safetensors Sharded Spa Tensorflow Tha Unsloth Vie Zho

Model Card on HF 🤗: https://huggingface.co/unsloth/Qwen2.5-72B-Instruct-bnb-4bit

Qwen2.5 72B Instruct Bnb 4bit Parameters and Internals

LLM Name	Qwen2.5 72B Instruct Bnb 4bit
Repository 🤗	https://huggingface.co/unsloth/Qwen2.5-72B-Instruct-bnb-4bit
Base Model(s)	Qwen/Qwen2.5-72B-Instruct Qwen/Qwen2.5-72B-Instruct
Model Size	72b
Required VRAM	41.4 GB
Updated	2026-08-25
Maintainer	unsloth
Model Type	qwen2
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-9 5.0 GB: 2-of-9 5.0 GB: 3-of-9 5.0 GB: 4-of-9 5.0 GB: 5-of-9 5.0 GB: 6-of-9 5.0 GB: 7-of-9 3.9 GB: 8-of-9 2.5 GB: 9-of-9
Supported Languages	en
Quantization Type	4bit
Model Architecture	Qwen2ForCausalLM
License	other
Context Length	32768
Model Max Length	32768
Transformers Version	4.44.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|PAD_TOKEN\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen2.5 72B Instruct Bnb 4bit capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
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Data Analysis and Insight Generation
Text Generation
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Code Generation
Multi-Language Support and Translation

Best Alternatives to Qwen2.5 72B Instruct Bnb 4bit

Best Alternatives	Context / RAM	Downloads	Likes
...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 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
Qwen2 72B Instruct Bpw4 EXL2	32K / 38.7 GB	5	0
Qwen2 72B Instruct 8bit	32K / 77.1 GB	48	1

Note: green Score (e.g. "73.2") means that the model is better than unsloth/Qwen2.5-72B-Instruct-bnb-4bit.