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

SAND Math Qwen2.5 32B requires approximately 65.8 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 SAND Math Qwen2.5 32B and how large is it?

SAND Math Qwen2.5 32B is developed by amd, 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 SAND Math Qwen2.5 32B?

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

SAND Math Qwen2.5 32B by amd — VRAM 65.8GB, 32K context

Name: SAND Math Qwen2.5 32B
Author: amd

SAND Math Qwen2.5 32B is an open-source language model by amd. Features: 32b LLM, VRAM: 65.8GB, Context: 32K, License: other, Instruction-Based, LLM Explorer Score: 0.21.

Arxiv:2507.20527 Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-32b-in... Conversational Dataset:amd/sand-post-training... En Endpoints compatible Instruct Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/amd/SAND-Math-Qwen2.5-32B

SAND Math Qwen2.5 32B Parameters and Internals

LLM Name	SAND Math Qwen2.5 32B
Repository 🤗	https://huggingface.co/amd/SAND-Math-Qwen2.5-32B
Base Model(s)	Qwen/Qwen2.5-32B-Instruct Qwen/Qwen2.5-32B-Instruct
Model Size	32b
Required VRAM	65.8 GB
Updated	2026-08-08
Maintainer	amd
Model Type	qwen2
Instruction-Based	Yes
Model Files	4.9 GB: 1-of-14 4.9 GB: 2-of-14 4.9 GB: 3-of-14 4.9 GB: 4-of-14 4.9 GB: 5-of-14 4.9 GB: 6-of-14 4.9 GB: 7-of-14 4.9 GB: 8-of-14 4.9 GB: 9-of-14 4.9 GB: 10-of-14 4.9 GB: 11-of-14 4.9 GB: 12-of-14 4.9 GB: 13-of-14 2.1 GB: 14-of-14
Supported Languages	en
Model Architecture	Qwen2ForCausalLM
License	other
Context Length	32768
Model Max Length	32768
Transformers Version	4.57.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Errors	replace

Rank the SAND Math Qwen2.5 32B capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
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Data Analysis and Insight Generation
Text Generation
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Multi-Language Support and Translation

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...y Qwen2.5coder 32B V24.1q 200K	195K / 65.8 GB	9	2
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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	9	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 amd/SAND-Math-Qwen2.5-32B.