What are the hardware requirements for DeepSeek V4 Flash 0731 GPTQ Int4 V1?

DeepSeek V4 Flash 0731 GPTQ Int4 V1 requires approximately 153 GB of VRAM and supports a context window of 1024K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed DeepSeek V4 Flash 0731 GPTQ Int4 V1 and how large is it?

DeepSeek V4 Flash 0731 GPTQ Int4 V1 is developed by sokada4, a model with 284.3b 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 V4 Flash 0731 GPTQ Int4 V1?

DeepSeek V4 Flash 0731 GPTQ Int4 V1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

DeepSeek V4 Flash 0731 GPTQ Int4 V1 by sokada4 — VRAM 153GB, 1024K context

Name: DeepSeek V4 Flash 0731 GPTQ Int4 V1
Author: sokada4

DeepSeek V4 Flash 0731 GPTQ Int4 V1 is an open-source language model by sokada4. Features: 284.3b LLM, VRAM: 153GB, Context: 1024K, License: mit, Quantized, LLM Explorer Score: 0.3.

4-bit 4bit Base model:deepseek-ai/deepsee... Base model:quantized:deepseek-... Deepseek v4 Endpoints compatible Gptq Gptqmodel Int4 Quantized Region:us Safetensors Sharded Tensorflow Vllm W4a16

Model Card on HF 🤗: https://huggingface.co/sokada4/DeepSeek-V4-Flash-0731-GPTQ-Int4-V1

DeepSeek V4 Flash 0731 GPTQ Int4 V1 Parameters and Internals

LLM Name	DeepSeek V4 Flash 0731 GPTQ Int4 V1
Repository 🤗	https://huggingface.co/sokada4/DeepSeek-V4-Flash-0731-GPTQ-Int4-V1
Base Model(s)	DeepSeek V4 Flash 0731 deepseek-ai/DeepSeek-V4-Flash-0731
Model Size	284.3b
Required VRAM	153 GB
Updated	2026-08-15
Maintainer	sokada4
Model Type	deepseek_v4
Model Files	4.3 GB: 1-of-36 4.3 GB: 2-of-36 4.3 GB: 3-of-36 4.3 GB: 4-of-36 4.3 GB: 5-of-36 4.3 GB: 6-of-36 4.3 GB: 7-of-36 4.3 GB: 8-of-36 4.3 GB: 9-of-36 4.3 GB: 10-of-36 4.3 GB: 11-of-36 4.3 GB: 12-of-36 4.3 GB: 13-of-36 4.3 GB: 14-of-36 4.3 GB: 15-of-36 4.3 GB: 16-of-36 4.3 GB: 17-of-36 4.3 GB: 18-of-36 4.3 GB: 19-of-36 4.3 GB: 20-of-36 4.3 GB: 21-of-36 4.3 GB: 22-of-36 4.3 GB: 23-of-36 4.3 GB: 24-of-36 4.3 GB: 25-of-36 4.3 GB: 26-of-36 4.3 GB: 27-of-36 4.3 GB: 28-of-36 4.3 GB: 29-of-36 4.3 GB: 30-of-36 4.3 GB: 31-of-36 4.3 GB: 32-of-36 4.3 GB: 33-of-36 4.3 GB: 34-of-36 4.3 GB: 35-of-36 2.5 GB: 36-of-36
GPTQ Quantization	Yes
Quantization Type	gptq
Model Architecture	DeepseekV4ForCausalLM
License	mit
Context Length	1048576
Model Max Length	1048576
Transformers Version	5.14.1
Tokenizer Class	TokenizersBackendFast
Padding Token	<｜end▁of▁sentence｜>
Vocabulary Size	129280

Rank the DeepSeek V4 Flash 0731 GPTQ Int4 V1 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 V4 Flash 0731 GPTQ Int4 V1

Best Alternatives	Context / RAM	Downloads	Likes
DeepSeek V4 Flash 4bit	1024K / 152.2 GB	12635	25
DeepSeek V4 Flash 2bit M DQ	1024K / 106.4 GB	785	2
DeepSeek V4 Flash 3bit DQ	1024K / 128.9 GB	696	2
...seek Ai DeepSeek V4 Flash 3bit	1024K / 124.3 GB	477	1
...seek Ai DeepSeek V4 Flash 6bit	1024K / 230.9 GB	367	1
DeepSeek V4 Flash 2bit DQ	1024K / 96.3 GB	14425	47
...seek Ai DeepSeek V4 Flash 8bit	1024K / 215.2 GB	3577	12
...seek Ai DeepSeek V4 Flash 4bit	1024K / 159.7 GB	1223	5
DeepSeek V4 Flash 6bit	1024K / 153.5 GB	781	2
DeepSeek V4 Flash 8bit	1024K / 154.8 GB	572	1

Note: green Score (e.g. "73.2") means that the model is better than sokada4/DeepSeek-V4-Flash-0731-GPTQ-Int4-V1.