What are the hardware requirements for Qwen2.5 32B AGI?

Qwen2.5 32B AGI requires approximately 44.6 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 32B AGI and how large is it?

Qwen2.5 32B AGI is developed by AiCloser, a model with 32b 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 32B AGI?

Qwen2.5 32B AGI is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen2.5 32B AGI by AiCloser — VRAM 44.6GB, 32K context

Name: Qwen2.5 32B AGI
Author: AiCloser

Qwen2.5 32B AGI is an open-source language model by AiCloser. Features: 32b LLM, VRAM: 44.6GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.15.

Ara Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-32b-in... Conversational Dataset:anthracite-org/kalo-op... Dataset:orion-zhen/dpo-toxic-z... Dataset:unalignment/toxic-dpo-... 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/AiCloser/Qwen2.5-32B-AGI

Qwen2.5 32B AGI Parameters and Internals

Additional Notes

AGI means Aspirational Grand Illusion. The model is designed to address Hypercensuritis, suggesting an emphasis on reducing excessive censorship.

Supported Languages

zh (Chinese), en (English)

LLM Name	Qwen2.5 32B AGI
Repository 🤗	https://huggingface.co/AiCloser/Qwen2.5-32B-AGI
Base Model(s)	Qwen/Qwen2.5-32B-Instruct Qwen/Qwen2.5-32B-Instruct
Model Size	32b
Required VRAM	44.6 GB
Updated	2026-08-31
Maintainer	AiCloser
Model Type	qwen2
Instruction-Based	Yes
Model Files	1.6 GB: 1-of-66 1.0 GB: 2-of-66 1.0 GB: 3-of-66 1.0 GB: 4-of-66 1.0 GB: 5-of-66 1.0 GB: 6-of-66 1.0 GB: 7-of-66 1.0 GB: 8-of-66 1.0 GB: 9-of-66 1.0 GB: 10-of-66 1.0 GB: 11-of-66 1.0 GB: 12-of-66 1.0 GB: 13-of-66 1.0 GB: 14-of-66 1.0 GB: 15-of-66 1.0 GB: 16-of-66 1.0 GB: 17-of-66 1.0 GB: 18-of-66 1.0 GB: 19-of-66 1.0 GB: 20-of-66 1.0 GB: 21-of-66 1.0 GB: 22-of-66 1.0 GB: 23-of-66 1.0 GB: 24-of-66 1.0 GB: 25-of-66 1.0 GB: 26-of-66 1.0 GB: 27-of-66 1.0 GB: 28-of-66 1.0 GB: 29-of-66 1.0 GB: 30-of-66 1.0 GB: 31-of-66 1.0 GB: 32-of-66 1.0 GB: 33-of-66 1.0 GB: 34-of-66 1.0 GB: 35-of-66 1.0 GB: 36-of-66 1.0 GB: 37-of-66 1.0 GB: 38-of-66 1.0 GB: 39-of-66 1.0 GB: 40-of-66 1.0 GB: 41-of-66 1.0 GB: 42-of-66 1.0 GB: 43-of-66 1.0 GB: 44-of-66
Supported Languages	en
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.44.2
Vocabulary Size	152064
Torch Data Type	bfloat16

Rank the Qwen2.5 32B AGI 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 32B AGI

Best Alternatives	Context / RAM	Downloads	Likes
...y Qwen2.5coder 32B V24.1q 200K	195K / 65.8 GB	9	2
...wen2.5 32B Inst BaseMerge TIES	128K / 65.8 GB	29	17
...wen2.5 32B Inst BaseMerge TIES	128K / 65.8 GB	44	4
Franqwenstein 35B	128K / 69.8 GB	5	8
ELYZA Thinking 1.0 Qwen 32B	128K / 65.8 GB	23	10
Archaeo 32B KTO	128K / 65.8 GB	15	4
Hamanasu Magnum QwQ 32B	128K / 65.8 GB	295	9
Qwen2.5 32B Gokgok Step3	128K / 65.7 GB	6	0
Openthaigpt R1 32B Instruct	128K / 65.8 GB	33	8
Qwen2.5 32B Dark Days Stage2	128K / 65.8 GB	9	0

Note: green Score (e.g. "73.2") means that the model is better than AiCloser/Qwen2.5-32B-AGI.