What are the hardware requirements for DeepSeek V4 Flash 0731 MXFP4 Mixed CT AutoRound?

DeepSeek V4 Flash 0731 MXFP4 Mixed CT AutoRound requires approximately 152.3 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 MXFP4 Mixed CT AutoRound and how large is it?

DeepSeek V4 Flash 0731 MXFP4 Mixed CT AutoRound is developed by intel-ai, a model with 304.2b 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 MXFP4 Mixed CT AutoRound?

DeepSeek V4 Flash 0731 MXFP4 Mixed CT AutoRound 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 MXFP4 Mixed CT AutoRound by intel-ai — VRAM 152.3GB, 1024K context

Name: DeepSeek V4 Flash 0731 MXFP4 Mixed CT AutoRound
Author: intel-ai

DeepSeek V4 Flash 0731 MXFP4 Mixed CT AutoRound is an open-source language model by intel-ai. Features: 304.2b LLM, VRAM: 152.3GB, Context: 1024K, License: mit, LLM Explorer Score: 0.31.

8-bit Auto-round Base model:deepseek-ai/deepsee... Base model:quantized:deepseek-... Compressed-tensors Deepseek v4 Endpoints compatible Moe Mxfp4 Mxfp8 Quantized Region:us Safetensors Sharded Tensorflow Vllm

Model Card on HF 🤗: https://huggingface.co/intel-ai/DeepSeek-V4-Flash-0731-MXFP4-Mixed-CT-AutoRound

DeepSeek V4 Flash 0731 MXFP4 Mixed CT AutoRound Parameters and Internals

LLM Name	DeepSeek V4 Flash 0731 MXFP4 Mixed CT AutoRound
Repository 🤗	https://huggingface.co/intel-ai/DeepSeek-V4-Flash-0731-MXFP4-Mixed-CT-AutoRound
Base Model(s)	DeepSeek V4 Flash 0731 deepseek-ai/DeepSeek-V4-Flash-0731
Model Size	304.2b
Required VRAM	152.3 GB
Updated	2026-10-01
Maintainer	intel-ai
Model Type	deepseek_v4
Model Files	1.1 GB: 1-of-48 3.6 GB: 2-of-48 3.6 GB: 3-of-48 3.6 GB: 4-of-48 3.6 GB: 5-of-48 3.6 GB: 6-of-48 3.6 GB: 7-of-48 3.6 GB: 8-of-48 3.6 GB: 9-of-48 3.6 GB: 10-of-48 3.6 GB: 11-of-48 3.6 GB: 12-of-48 3.6 GB: 13-of-48 3.6 GB: 14-of-48 3.6 GB: 15-of-48 3.6 GB: 16-of-48 3.6 GB: 17-of-48 3.6 GB: 18-of-48 3.6 GB: 19-of-48 3.6 GB: 20-of-48 3.6 GB: 21-of-48 3.6 GB: 22-of-48 3.6 GB: 23-of-48 3.6 GB: 24-of-48 3.6 GB: 25-of-48 3.6 GB: 26-of-48 3.6 GB: 27-of-48 3.6 GB: 28-of-48 3.6 GB: 29-of-48 3.6 GB: 30-of-48 3.6 GB: 31-of-48 3.6 GB: 32-of-48 3.6 GB: 33-of-48 3.6 GB: 34-of-48 3.6 GB: 35-of-48 3.6 GB: 36-of-48 3.6 GB: 37-of-48 3.6 GB: 38-of-48 3.6 GB: 39-of-48 3.6 GB: 40-of-48 3.6 GB: 41-of-48 3.6 GB: 42-of-48 3.6 GB: 43-of-48
Model Architecture	DeepseekV4ForCausalLM
License	mit
Context Length	1048576
Model Max Length	1048576
Transformers Version	4.57.1
Vocabulary Size	129280
Torch Data Type	bfloat16

Rank the DeepSeek V4 Flash 0731 MXFP4 Mixed CT AutoRound 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 V4 Flash 0731 MXFP4 Mixed CT AutoRound

Best Alternatives	Context / RAM	Downloads	Likes
DeepSeek V4 Flash 0731	1024K / 152.3 GB	785771	2803
... V4 Flash 0731 Abliterated FP8	1024K / 145.1 GB	5149	35
DeepSeek V4 Flash 0731 NVFP4	1024K / 149.3 GB	7421	6
DeepSeek V4 Flash 0731	1024K / 152.3 GB	253	1
DeepSeek V4 Flash 0731 NVFP4	1024K / 156.9 GB	307	23
...4 Flash 0731 Abliterated NVFP4	1024K / 145.5 GB	952	11
Synapse Chat V4 Flash 0731	1024K / 152.3 GB	66	1
...eepSeek V4 Flash 0731 Ornstein	1024K / 568.7 GB	183	1
Smaug Flash	1024K / 148.7 GB	56	17
...Seek V4 Flash 0731 CRACK NVFP4	1024K / 141.5 GB	242	7

Note: green Score (e.g. "73.2") means that the model is better than intel-ai/DeepSeek-V4-Flash-0731-MXFP4-Mixed-CT-AutoRound.