What are the hardware requirements for DeepSeek V3.0324 AWQ?

DeepSeek V3.0324 AWQ requires approximately 351.9 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 V3.0324 AWQ and how large is it?

DeepSeek V3.0324 AWQ is developed by cognitivecomputations, a model with 671b 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 V3.0324 AWQ?

DeepSeek V3.0324 AWQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

DeepSeek V3.0324 AWQ by cognitivecomputations — VRAM 351.9GB, 160K context

Name: DeepSeek V3.0324 AWQ
Author: cognitivecomputations

DeepSeek V3.0324 AWQ is an open-source language model by cognitivecomputations. Features: 671b LLM, VRAM: 351.9GB, Context: 160K, License: mit, Quantized, LLM Explorer Score: 0.17.

4-bit Awq Base model:deepseek-ai/deepsee... Base model:quantized:deepseek-... Conversational Custom code Deepseek v3 En Endpoints compatible Quantized Region:us Safetensors Sharded Tensorflow Zh

Model Card on HF 🤗: https://huggingface.co/QuixiAI/DeepSeek-V3-0324-AWQ

DeepSeek V3.0324 AWQ Parameters and Internals

LLM Name	DeepSeek V3.0324 AWQ
Repository 🤗	https://huggingface.co/QuixiAI/DeepSeek-V3-0324-AWQ
Base Model(s)	DeepSeek V3.0324 deepseek-ai/DeepSeek-V3-0324
Model Size	671b
Required VRAM	351.9 GB
Updated	2026-08-02
Maintainer	cognitivecomputations
Model Type	deepseek_v3
Model Files	10.0 GB: 1-of-36 10.0 GB: 2-of-36 10.0 GB: 3-of-36 10.0 GB: 4-of-36 10.0 GB: 5-of-36 10.0 GB: 6-of-36 10.0 GB: 7-of-36 10.0 GB: 8-of-36 10.0 GB: 9-of-36 10.0 GB: 10-of-36 10.0 GB: 11-of-36 10.0 GB: 12-of-36 10.0 GB: 13-of-36 10.0 GB: 14-of-36 10.0 GB: 15-of-36 10.0 GB: 16-of-36 10.0 GB: 17-of-36 10.0 GB: 18-of-36 10.0 GB: 19-of-36 10.0 GB: 20-of-36 10.0 GB: 21-of-36 10.0 GB: 22-of-36 10.0 GB: 23-of-36 10.0 GB: 24-of-36 10.0 GB: 25-of-36 10.0 GB: 26-of-36 10.0 GB: 27-of-36 10.0 GB: 28-of-36 10.0 GB: 29-of-36 10.0 GB: 30-of-36 10.0 GB: 31-of-36 10.0 GB: 32-of-36 10.0 GB: 33-of-36 10.0 GB: 34-of-36 10.0 GB: 35-of-36 1.9 GB: 36-of-36
Supported Languages	en zh
AWQ Quantization	Yes
Quantization Type	awq
Model Architecture	DeepseekV3ForCausalLM
License	mit
Context Length	163840
Model Max Length	163840
Transformers Version	4.48.0
Tokenizer Class	LlamaTokenizer
Padding Token	<｜end▁of▁sentence｜>
Vocabulary Size	129280
Torch Data Type	bfloat16

Rank the DeepSeek V3.0324 AWQ 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 DeepSeek V3.0324 AWQ

Best Alternatives	Context / RAM	Downloads	Likes
DeepSeek V3 AWQ	160K / 351.9 GB	247	36
DeepSeek R1 0528 AWQ	160K / 205 GB	163	19
DeepSeek R1 AWQ	160K / 225 GB	941	87
DeepSeek V3.1 Terminus 4bit	160K / 190.1 GB	42	2
DeepSeek V3.1 8bit	160K / 177.8 GB	4268	3
RakutenAI 3.0 MLX 4bit	160K / 198.7 GB	28	2
DeepSeek V3.1 4bit	160K / 190.1 GB	2974	6
DeepSeek V3.1 Base 4bit	160K / 190.1 GB	43	3
DeepSeek R1 0528 5bit	160K / 231 GB	66	3
R1 1776	160K / 243.4 GB	855	2324

Note: green Score (e.g. "73.2") means that the model is better than QuixiAI/DeepSeek-V3-0324-AWQ.