What are the hardware requirements for Qwen1.5 32B?

Qwen1.5 32B requires approximately 65.5 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 Qwen1.5 32B and how large is it?

Qwen1.5 32B is developed by Qwen, a model with 32b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Qwen1.5 32B perform on standard benchmarks?

Qwen1.5 32B has the following published scores: MMLU 74.31. Compare against reference models on this page or on the LLM Explorer leaderboards.

Qwen1.5 32B by Qwen — VRAM 65.5GB, 32K context

Name: Qwen1.5 32B
Author: Qwen

Qwen1.5 32B is an open-source language model by Qwen. Features: 32b LLM, VRAM: 65.5GB, Context: 32K, License: other, LLM Explorer Score: 0.25, Arc: 63.4, HellaSwag: 85, MMLU: 74.3, GSM8K: 60.9.

Arxiv:2309.16609 Conversational Deploy:azure En Endpoints compatible Pretrained Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Qwen/Qwen1.5-32B

Qwen1.5 32B Parameters and Internals

Model Type

text generation, transformer-based, decoder-only

Additional Notes

We do not advise you to use base language models for text generation. Instead, you can apply post-training, e.g., SFT, RLHF, continued pretraining, etc., on this model.

Supported Languages

languages_list (Multilingual support of both base and chat models), proficiency_level (High)

Training Details

Methodology:

Transformer architecture with SwiGLU activation, attention QKV bias, group query attention, mixture of sliding window attention and full attention.

Context Length:

32768

Model Architecture:

Transformer-based decoder-only language model

LLM Name	Qwen1.5 32B
Repository 🤗	https://huggingface.co/Qwen/Qwen1.5-32B
Model Size	32b
Required VRAM	65.5 GB
Updated	2026-08-03
Maintainer	Qwen
Model Type	qwen2
Model Files	3.9 GB: 1-of-17 3.9 GB: 2-of-17 3.9 GB: 3-of-17 3.9 GB: 4-of-17 3.9 GB: 5-of-17 3.9 GB: 6-of-17 3.9 GB: 7-of-17 3.9 GB: 8-of-17 3.9 GB: 9-of-17 3.9 GB: 10-of-17 3.9 GB: 11-of-17 3.9 GB: 12-of-17 3.9 GB: 13-of-17 3.9 GB: 14-of-17 3.9 GB: 15-of-17 3.9 GB: 16-of-17 3.1 GB: 17-of-17
Supported Languages	en
Model Architecture	Qwen2ForCausalLM
License	other
Context Length	32768
Model Max Length	32768
Transformers Version	4.37.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen1.5 32B 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 Qwen1.5 32B

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Openbuddy Qwq 32B V24.2 200K	195K / 65.8 GB	9	3
Openbuddy Qwq 32B V24.1 200K	195K / 65.8 GB	10	3
Openbuddy Qwq 32B V25.2q 200K	195K / 65.8 GB	1	4
...y Qwen2.5coder 32B V24.1q 200K	195K / 65.8 GB	9	2
DeepSeek R1 Distill Qwen 32B	128K / 65.7 GB	841633	1584
Qwen2.5 32B	128K / 65.5 GB	49206	180
RomboUltima 32B	128K / 20.7 GB	12	6
...wen2.5 32B Inst BaseMerge TIES	128K / 65.8 GB	45	17
Ultiima 32B	128K / 65.8 GB	11	7
...wen2.5 32B Inst BaseMerge TIES	128K / 65.8 GB	64	4

Note: green Score (e.g. "73.2") means that the model is better than Qwen/Qwen1.5-32B.