What are the hardware requirements for DeepSeek Math V2?

DeepSeek Math V2 requires approximately 184.9 GB of VRAM and supports a context window of 160K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed DeepSeek Math V2 and how large is it?

DeepSeek Math V2 is developed by deepseek-ai, a model with 685.4b 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 DeepSeek Math V2?

DeepSeek Math V2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

DeepSeek Math V2 by deepseek-ai — VRAM 184.9GB, 160K context

Name: DeepSeek Math V2
Author: deepseek-ai

DeepSeek Math V2 is an open-source language model by deepseek-ai. Features: 685.4b LLM, VRAM: 184.9GB, Context: 160K, License: apache-2.0, LLM Explorer Score: 0.28.

Base model:deepseek-ai/deepsee... Base model:quantized:deepseek-... Conversational Deepseek v32 Endpoints compatible Fp8 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/deepseek-ai/DeepSeek-Math-V2

DeepSeek Math V2 Parameters and Internals

LLM Name	DeepSeek Math V2
Repository 🤗	https://huggingface.co/deepseek-ai/DeepSeek-Math-V2
Base Model(s)	DeepSeek Math V2 deepseek-ai/DeepSeek-Math-V2
Model Size	685.4b
Required VRAM	184.9 GB
Updated	2026-07-26
Maintainer	deepseek-ai
Model Type	deepseek_v32
Model Files	5.2 GB: 1-of-163 4.3 GB: 2-of-163 4.3 GB: 3-of-163 4.3 GB: 4-of-163 4.3 GB: 5-of-163 4.3 GB: 6-of-163 4.3 GB: 7-of-163 4.3 GB: 8-of-163 4.3 GB: 9-of-163 4.3 GB: 10-of-163 4.3 GB: 11-of-163 1.5 GB: 12-of-163 4.3 GB: 13-of-163 4.3 GB: 14-of-163 4.3 GB: 15-of-163 4.3 GB: 16-of-163 4.3 GB: 17-of-163 4.3 GB: 18-of-163 4.3 GB: 19-of-163 4.3 GB: 20-of-163 4.3 GB: 21-of-163 4.3 GB: 22-of-163 4.3 GB: 23-of-163 4.3 GB: 24-of-163 4.3 GB: 25-of-163 4.3 GB: 26-of-163 4.3 GB: 27-of-163 4.3 GB: 28-of-163 4.3 GB: 29-of-163 4.3 GB: 30-of-163 4.3 GB: 31-of-163 4.3 GB: 32-of-163 4.3 GB: 33-of-163 1.9 GB: 34-of-163 4.3 GB: 35-of-163 4.3 GB: 36-of-163 4.3 GB: 37-of-163 4.3 GB: 38-of-163 4.3 GB: 39-of-163 4.3 GB: 40-of-163 4.3 GB: 41-of-163 4.3 GB: 42-of-163 4.3 GB: 43-of-163 4.3 GB: 44-of-163
Model Architecture	DeepseekV32ForCausalLM
License	apache-2.0
Context Length	163840
Model Max Length	163840
Transformers Version	4.44.2
Vocabulary Size	129280
Torch Data Type	bfloat16

Rank the DeepSeek Math V2 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 DeepSeek Math V2

Best Alternatives	Context / RAM	Downloads	Likes
DeepSeek V3.2 Exp	160K / 180.6 GB	214096	994
DeepSeek V3.2	160K / 176.3 GB	1246445	1463
DeepSeek V3.2	160K / 172 GB	31	11
DeepSeek V3.2 Exp Base	160K / 184.9 GB	426	68
DeepSeek V3.2 Speciale	160K / 176.3 GB	5128	718

Note: green Score (e.g. "73.2") means that the model is better than deepseek-ai/DeepSeek-Math-V2.