What are the hardware requirements for Qwen2 72B 4bit?

Qwen2 72B 4bit requires approximately 40.9 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 Qwen2 72B 4bit and how large is it?

Qwen2 72B 4bit is developed by mlx-community, 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 4bit?

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

Qwen2 72B 4bit by mlx-community — VRAM 40.9GB, 128K context

Name: Qwen2 72B 4bit
Author: mlx-community

Qwen2 72B 4bit is an open-source language model by mlx-community. Features: 72b LLM, VRAM: 40.9GB, Context: 128K, License: other, Quantized, LLM Explorer Score: 0.13.

4bit Conversational En Mlx Pretrained Quantized Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mlx-community/Qwen2-72B-4bit

Qwen2 72B 4bit Parameters and Internals

Model Type

text generation

LLM Name	Qwen2 72B 4bit
Repository 🤗	https://huggingface.co/mlx-community/Qwen2-72B-4bit
Model Size	72b
Required VRAM	40.9 GB
Updated	2026-07-25
Maintainer	mlx-community
Model Type	qwen2
Model Files	5.4 GB: 1-of-8 5.3 GB: 2-of-8 5.3 GB: 3-of-8 5.3 GB: 4-of-8 5.3 GB: 5-of-8 5.3 GB: 6-of-8 5.3 GB: 7-of-8 3.7 GB: 8-of-8
Supported Languages	en
Quantization Type	4bit
Model Architecture	Qwen2ForCausalLM
License	other
Context Length	131072
Model Max Length	131072
Transformers Version	4.40.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen2 72B 4bit 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 Qwen2 72B 4bit

Best Alternatives	Context / RAM	Downloads	Likes
Kimi Dev 72B 4bit DWQ	128K / 40.9 GB	4465	21
Kimi Dev 72B 8bit	128K / 77.1 GB	361	2
Kimi Dev 72B 5bit	128K / 50.1 GB	368	2
Qwen2.5 72B Bnb 4bit	128K / 41.4 GB	153	1
...in 2.9.2 Qwen2 72B 6.0bpw EXL2	128K / 56.1 GB	5	1
Qwen2 72B Bnb 4bit	128K / 41.2 GB	99	4
...Qwen2 72B 4 0bpw H6 EXL2 Pippa	128K / 38.6 GB	7	1
...phin 292 Qwen2 72b EXL2 4 0bpw	128K / 38.6 GB	4	1
...n 2.9.2 Qwen72b 8.0bpw H8 EXL2	128K / 66.8 GB	3	2
...B Instruct 2.0bpw H Novel EXL2	125K / 23 GB	4	1

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