Name: Qwen2.5 32B Instruct
Author: Qwen

Qwen2.5 32B Instruct is an open-source language model by Qwen. Features: 32b LLM, VRAM: 65.5GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.45.

Arxiv:2309.00071 Arxiv:2407.10671 Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-32b Chat Conversational Deploy:azure En Endpoints compatible Instruct Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Qwen/Qwen2.5-32B-Instruct

Qwen2.5 32B Instruct Benchmarks

IFEval: 83.46 vs 88 (so35)^-5.2%

MATH Lvl 5: 62.54

LLME Score: 0.45259

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Qwen2.5 32B Instruct (Qwen/Qwen2.5-32B-Instruct)

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Qwen2.5 32B Instruct Parameters and Internals

Model Type

Causal Language Models

Supported Languages

languages_supported (/- en ), proficiency (/multilingual support for over 29 languages, including Chinese, English, French, Spanish, Portuguese, German, Italian, Russian, Japanese, Korean, Vietnamese, Thai, Arabic, and more.)

Training Details

Methodology:

Pretraining & Post-training

Context Length:

131072

Model Architecture:

transformers with RoPE, SwiGLU, RMSNorm, and Attention QKV bias

LLM Name	Qwen2.5 32B Instruct
Repository 🤗	https://huggingface.co/Qwen/Qwen2.5-32B-Instruct
Base Model(s)	Qwen/Qwen2.5-32B Qwen/Qwen2.5-32B
Model Size	32b
Required VRAM	65.5 GB
Updated	2026-03-29
Maintainer	Qwen
Model Type	qwen2
Instruction-Based	Yes
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	apache-2.0
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

Quantized Models of the Qwen2.5 32B Instruct

Model	Likes	Downloads	VRAM
Qwen2.5 32B Instruct AWQ	98	1482036	19 GB
Qwen2.5 32B Instruct GPTQ Int8	11	419401	35 GB
Qwen2.5 32B Instruct GPTQ Int4	37	124156	19 GB
Qwen2.5 32B Instruct Bnb 4bit	14	19768	19 GB
Cogito R1	5	8	65 GB
WPAIGPT Fse Patterns 1	3	88	65 GB

Best Alternatives to Qwen2.5 32B Instruct

Best Alternatives	Context / RAM	Downloads	Likes
...y Qwen2.5coder 32B V24.1q 200K	195K / 65.8 GB	8	2
...wen2.5 32B Inst BaseMerge TIES	128K / 65.8 GB	30	17
...wen2.5 32B Inst BaseMerge TIES	128K / 65.8 GB	10	4
Franqwenstein 35B	128K / 69.8 GB	3	8
ELYZA Thinking 1.0 Qwen 32B	128K / 65.8 GB	203	9
Hamanasu Magnum QwQ 32B	128K / 65.8 GB	295	9
Archaeo 32B KTO	128K / 65.8 GB	4	4
Qwen2.5 32B Gokgok Step3	128K / 65.7 GB	6	0
Qwen2.5 32B Dark Days Stage2	128K / 65.8 GB	7	0
Qwen2.5 32B YOYO MIX	128K / 65.7 GB	5	2

Rank the Qwen2.5 32B Instruct Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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

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Release v20260328a

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