What are the hardware requirements for Qwen2.5 72B Instruct 8bit?

Qwen2.5 72B Instruct 8bit requires approximately 77.1 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 Instruct 8bit and how large is it?

Qwen2.5 72B Instruct 8bit 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 Qwen2.5 72B Instruct 8bit?

Qwen2.5 72B Instruct 8bit 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 8bit by mlx-community — VRAM 77.1GB, 32K context

Name: Qwen2.5 72B Instruct 8bit
Author: mlx-community

Qwen2.5 72B Instruct 8bit is an open-source language model by mlx-community. Features: 72b LLM, VRAM: 77.1GB, Context: 32K, License: other, Quantized, Instruction-Based, LLM Explorer Score: 0.15.

8bit Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-72b Chat Conversational En Instruct Mlx Quantized Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mlx-community/Qwen2.5-72B-Instruct-8bit

Qwen2.5 72B Instruct 8bit Parameters and Internals

Model Type

text-generation

Additional Notes

The model was converted to MLX format from Qwen/Qwen2.5-72B-Instruct using mlx-lm version 0.18.1. It can be used with the mlx library.

Supported Languages

en (unknown)

LLM Name	Qwen2.5 72B Instruct 8bit
Repository 🤗	https://huggingface.co/mlx-community/Qwen2.5-72B-Instruct-8bit
Base Model(s)	Qwen/Qwen2.5-72B Qwen/Qwen2.5-72B
Model Size	72b
Required VRAM	77.1 GB
Updated	2026-07-30
Maintainer	mlx-community
Model Type	qwen2
Instruction-Based	Yes
Model Files	5.2 GB: 1-of-15 5.2 GB: 2-of-15 5.3 GB: 3-of-15 5.3 GB: 4-of-15 5.2 GB: 5-of-15 5.3 GB: 6-of-15 5.3 GB: 7-of-15 5.2 GB: 8-of-15 5.3 GB: 9-of-15 5.3 GB: 10-of-15 5.2 GB: 11-of-15 5.3 GB: 12-of-15 5.3 GB: 13-of-15 5.2 GB: 14-of-15 3.5 GB: 15-of-15
Supported Languages	en
Quantization Type	8bit
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 Instruct 8bit 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 Qwen2.5 72B Instruct 8bit

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 Bnb 4bit	32K / 41.4 GB	14954	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 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 8bit	32K / 77.1 GB	48	1
Qwen2 72B Instruct Bpw4 EXL2	32K / 38.7 GB	5	0

Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Qwen2.5-72B-Instruct-8bit.