What are the hardware requirements for DeepSeek V4.1 Flash REAP 272E?

DeepSeek V4.1 Flash REAP 272E requires approximately 218.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed DeepSeek V4.1 Flash REAP 272E and how large is it?

DeepSeek V4.1 Flash REAP 272E is developed by LibertAIDAI. 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 V4.1 Flash REAP 272E?

DeepSeek V4.1 Flash REAP 272E is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

DeepSeek V4.1 Flash REAP 272E by LibertAIDAI — VRAM 218.2GB

Name: DeepSeek V4.1 Flash REAP 272E
Author: LibertAIDAI

DeepSeek V4.1 Flash REAP 272E is an open-source language model by LibertAIDAI. Features: LLM, VRAM: 218.2GB, License: mit, LLM Explorer Score: 0.3.

Base model:deepseek-ai/deepsee... Base model:quantized:deepseek-... Deepseek Deepseek v41 Endpoints compatible Expert-pruning Fp8 Image-text-to-text Moe Multimodal Reap Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/LibertAIDAI/DeepSeek-V4.1-Flash-REAP-272E

DeepSeek V4.1 Flash REAP 272E Parameters and Internals

LLM Name	DeepSeek V4.1 Flash REAP 272E
Repository 🤗	https://huggingface.co/LibertAIDAI/DeepSeek-V4.1-Flash-REAP-272E
Base Model(s)	deepseek-ai/DeepSeek-V4.1-Flash deepseek-ai/DeepSeek-V4.1-Flash
Required VRAM	218.2 GB
Updated	2026-09-14
Maintainer	LibertAIDAI
Model Type	deepseek_v41
Model Files	1.0 GB: 1-of-48 1.3 GB: 2-of-48 5.3 GB: 3-of-48 5.3 GB: 4-of-48 5.3 GB: 5-of-48 5.3 GB: 6-of-48 5.3 GB: 7-of-48 5.3 GB: 8-of-48 5.3 GB: 9-of-48 5.3 GB: 10-of-48 5.3 GB: 11-of-48 5.3 GB: 12-of-48 5.3 GB: 13-of-48 5.3 GB: 14-of-48 5.3 GB: 15-of-48 5.3 GB: 16-of-48 5.3 GB: 17-of-48 5.3 GB: 18-of-48 5.3 GB: 19-of-48 5.3 GB: 20-of-48 5.3 GB: 21-of-48 5.3 GB: 22-of-48 5.3 GB: 23-of-48 5.3 GB: 24-of-48 5.3 GB: 25-of-48 5.3 GB: 26-of-48 5.3 GB: 27-of-48 5.3 GB: 28-of-48 5.3 GB: 29-of-48 5.3 GB: 30-of-48 5.3 GB: 31-of-48 5.3 GB: 32-of-48 5.3 GB: 33-of-48 5.3 GB: 34-of-48 5.3 GB: 35-of-48 5.3 GB: 36-of-48 5.3 GB: 37-of-48 5.3 GB: 38-of-48 5.3 GB: 39-of-48 5.3 GB: 40-of-48 5.3 GB: 41-of-48 5.3 GB: 42-of-48 1.3 GB: 43-of-48 2.6 GB: 44-of-48
Model Architecture	DeepseekV41ForCausalLM
License	mit
Transformers Version	5.6.0

Rank the DeepSeek V4.1 Flash REAP 272E 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 V4.1 Flash REAP 272E

Best Alternatives	Context / RAM	Downloads	Likes
DeepSeek V4.1 Flash REAP 256E	0K / 206.2 GB	104	6
...epSeek V4.1 Flash MixedQ2 GGUF	0K / 10.8 GB	6802	4

Note: green Score (e.g. "73.2") means that the model is better than LibertAIDAI/DeepSeek-V4.1-Flash-REAP-272E.