What are the hardware requirements for DeepSeek V3.2 Speciale?

DeepSeek V3.2 Speciale requires approximately 176.3 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 V3.2 Speciale and how large is it?

DeepSeek V3.2 Speciale 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 V3.2 Speciale?

DeepSeek V3.2 Speciale is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

DeepSeek V3.2 Speciale by deepseek-ai — VRAM 176.3GB, 160K context

Name: DeepSeek V3.2 Speciale
Author: deepseek-ai

DeepSeek V3.2 Speciale is an open-source language model by deepseek-ai. Features: 685.4b LLM, VRAM: 176.3GB, Context: 160K, License: mit, LLM Explorer Score: 0.3.

Base model:deepseek-ai/deepsee... Base model:finetune:deepseek-a... Deepseek v32 Endpoints compatible Eval-results Fp8 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/deepseek-ai/DeepSeek-V3.2-Speciale

DeepSeek V3.2 Speciale Parameters and Internals

LLM Name	DeepSeek V3.2 Speciale
Repository 🤗	https://huggingface.co/deepseek-ai/DeepSeek-V3.2-Speciale
Base Model(s)	deepseek-ai/DeepSeek-V3.2-Exp-Base deepseek-ai/DeepSeek-V3.2-Exp-Base
Model Size	685.4b
Required VRAM	176.3 GB
Updated	2026-08-04
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
Model Architecture	DeepseekV32ForCausalLM
License	mit
Context Length	163840
Model Max Length	163840
Transformers Version	4.44.2
Vocabulary Size	129280
Torch Data Type	bfloat16

Rank the DeepSeek V3.2 Speciale 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

Quantized Models of the DeepSeek V3.2 Speciale

Model	Likes	Downloads	VRAM
DeepSeek V3.2 Speciale 4bit	1	88	194 GB

Best Alternatives to DeepSeek V3.2 Speciale

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 Math V2	160K / 184.9 GB	376	705

Note: green Score (e.g. "73.2") means that the model is better than deepseek-ai/DeepSeek-V3.2-Speciale.