What are the hardware requirements for DeepSeek V4 Flash 0731 REAM160 180B?

DeepSeek V4 Flash 0731 REAM160 180B requires approximately 101 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 REAM160 180B and how large is it?

DeepSeek V4 Flash 0731 REAM160 180B is developed by WaveCut, a model with 180b 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 REAM160 180B?

DeepSeek V4 Flash 0731 REAM160 180B 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 REAM160 180B by WaveCut — VRAM 101GB, 1024K context

Name: DeepSeek V4 Flash 0731 REAM160 180B
Author: WaveCut

DeepSeek V4 Flash 0731 REAM160 180B is an open-source language model by WaveCut. Features: 180b LLM, VRAM: 101GB, Context: 1024K, LLM Explorer Score: 0.25.

8-bit Base model:deepseek-ai/deepsee... Base model:quantized:deepseek-... Deepseek-v4 Deepseek v4 Endpoints compatible Fp4 Fp8 Moe Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/WaveCut/DeepSeek-V4-Flash-0731-REAM160-180B

DeepSeek V4 Flash 0731 REAM160 180B Parameters and Internals

LLM Name	DeepSeek V4 Flash 0731 REAM160 180B
Repository 🤗	https://huggingface.co/WaveCut/DeepSeek-V4-Flash-0731-REAM160-180B
Base Model(s)	DeepSeek V4 Flash 0731 deepseek-ai/DeepSeek-V4-Flash-0731
Model Size	180b
Required VRAM	101 GB
Updated	2026-08-11
Maintainer	WaveCut
Model Type	deepseek_v4
Model Files	2.1 GB: 1-of-44 2.3 GB: 2-of-44 2.3 GB: 3-of-44 2.3 GB: 4-of-44 2.3 GB: 5-of-44 2.3 GB: 6-of-44 2.3 GB: 7-of-44 2.3 GB: 8-of-44 2.3 GB: 9-of-44 2.3 GB: 10-of-44 2.3 GB: 11-of-44 2.3 GB: 12-of-44 2.3 GB: 13-of-44 2.3 GB: 14-of-44 2.3 GB: 15-of-44 2.3 GB: 16-of-44 2.3 GB: 17-of-44 2.3 GB: 18-of-44 2.3 GB: 19-of-44 2.3 GB: 20-of-44 2.3 GB: 21-of-44 2.3 GB: 22-of-44 2.3 GB: 23-of-44 2.3 GB: 24-of-44 2.3 GB: 25-of-44 2.3 GB: 26-of-44 2.3 GB: 27-of-44 2.3 GB: 28-of-44 2.3 GB: 29-of-44 2.3 GB: 30-of-44 2.3 GB: 31-of-44 2.3 GB: 32-of-44 2.3 GB: 33-of-44 2.3 GB: 34-of-44 2.3 GB: 35-of-44 2.3 GB: 36-of-44 2.3 GB: 37-of-44 2.3 GB: 38-of-44 2.3 GB: 39-of-44 2.3 GB: 40-of-44 2.3 GB: 41-of-44 2.3 GB: 42-of-44 2.3 GB: 43-of-44 2.3 GB: 44-of-44
Model Architecture	DeepseekV4ForCausalLM
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 REAM160 180B 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 REAM160 180B

Best Alternatives	Context / RAM	Downloads	Likes
DeepSeek V4 Flash 180B	1024K / 93.1 GB	584	32
...V4 Flash 0731 REAM128 146B Exp	1024K / 83.8 GB	90	0

Note: green Score (e.g. "73.2") means that the model is better than WaveCut/DeepSeek-V4-Flash-0731-REAM160-180B.