What are the hardware requirements for SAND MathScience DeepSeek Qwen32B?

SAND MathScience DeepSeek Qwen32B requires approximately 65.8 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed SAND MathScience DeepSeek Qwen32B and how large is it?

SAND MathScience DeepSeek Qwen32B 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 MathScience DeepSeek Qwen32B?

SAND MathScience DeepSeek Qwen32B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

SAND MathScience DeepSeek Qwen32B by amd — VRAM 65.8GB, 128K context

Name: SAND MathScience DeepSeek Qwen32B
Author: amd

SAND MathScience DeepSeek Qwen32B is an open-source language model by amd. Features: 32b LLM, VRAM: 65.8GB, Context: 128K, License: other, LLM Explorer Score: 0.21.

Arxiv:2507.20527 Base model:deepseek-ai/deepsee... Base model:finetune:deepseek-a... Conversational Dataset:amd/sand-post-training... En Endpoints compatible Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/amd/SAND-MathScience-DeepSeek-Qwen32B

SAND MathScience DeepSeek Qwen32B Parameters and Internals

LLM Name	SAND MathScience DeepSeek Qwen32B
Repository 🤗	https://huggingface.co/amd/SAND-MathScience-DeepSeek-Qwen32B
Base Model(s)	DeepSeek R1 Distill Qwen 32B deepseek-ai/DeepSeek-R1-Distill-Qwen-32B
Model Size	32b
Required VRAM	65.8 GB
Updated	2026-08-08
Maintainer	amd
Model Type	qwen2
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	131072
Model Max Length	131072
Transformers Version	4.57.0
Tokenizer Class	LlamaTokenizerFast
Padding Token	<｜end▁of▁sentence｜>
Vocabulary Size	152064

Rank the SAND MathScience DeepSeek Qwen32B capabilities

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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 SAND MathScience DeepSeek Qwen32B

Best Alternatives	Context / RAM	Downloads	Likes
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	15	17
Ultiima 32B	128K / 65.8 GB	11	7
...wen2.5 32B Inst BaseMerge TIES	128K / 65.8 GB	11	4

Note: green Score (e.g. "73.2") means that the model is better than amd/SAND-MathScience-DeepSeek-Qwen32B.