What are the hardware requirements for DeepSeek V4.1 Flash REAP 256E?

DeepSeek V4.1 Flash REAP 256E requires approximately 206.2 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 256E and how large is it?

DeepSeek V4.1 Flash REAP 256E 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 256E?

DeepSeek V4.1 Flash REAP 256E 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 256E by LibertAIDAI — VRAM 206.2GB

Name: DeepSeek V4.1 Flash REAP 256E
Author: LibertAIDAI

DeepSeek V4.1 Flash REAP 256E is an open-source language model by LibertAIDAI. Features: LLM, VRAM: 206.2GB, License: mit, LLM Explorer Score: 0.26.

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 Vllm

Model Card on HF 🤗: https://huggingface.co/LibertAIDAI/DeepSeek-V4.1-Flash-REAP-256E

DeepSeek V4.1 Flash REAP 256E Parameters and Internals

LLM Name	DeepSeek V4.1 Flash REAP 256E
Repository 🤗	https://huggingface.co/LibertAIDAI/DeepSeek-V4.1-Flash-REAP-256E
Base Model(s)	deepseek-ai/DeepSeek-V4.1-Flash deepseek-ai/DeepSeek-V4.1-Flash
Required VRAM	206.2 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 5.0 GB: 3-of-48 5.0 GB: 4-of-48 5.0 GB: 5-of-48 5.0 GB: 6-of-48 5.0 GB: 7-of-48 5.0 GB: 8-of-48 5.0 GB: 9-of-48 5.0 GB: 10-of-48 5.0 GB: 11-of-48 5.0 GB: 12-of-48 5.0 GB: 13-of-48 5.0 GB: 14-of-48 5.0 GB: 15-of-48 5.0 GB: 16-of-48 5.0 GB: 17-of-48 5.0 GB: 18-of-48 5.0 GB: 19-of-48 5.0 GB: 20-of-48 5.0 GB: 21-of-48 5.0 GB: 22-of-48 5.0 GB: 23-of-48 5.0 GB: 24-of-48 5.0 GB: 25-of-48 5.0 GB: 26-of-48 5.0 GB: 27-of-48 5.0 GB: 28-of-48 5.0 GB: 29-of-48 5.0 GB: 30-of-48 5.0 GB: 31-of-48 5.0 GB: 32-of-48 5.0 GB: 33-of-48 5.0 GB: 34-of-48 5.0 GB: 35-of-48 5.0 GB: 36-of-48 5.0 GB: 37-of-48 5.0 GB: 38-of-48 5.0 GB: 39-of-48 5.0 GB: 40-of-48 5.0 GB: 41-of-48 5.0 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 256E 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 V4.1 Flash REAP 256E

Best Alternatives	Context / RAM	Downloads	Likes
DeepSeek V4.1 Flash 1017 MLXse	0K / 11 GB	787	2
...ek V4.1 Flash 1017 EXL3 2.7bpw	0K / 2.3 GB	487	5
DeepSeek V4.1 Flash Spark	0K / 18.5 GB	645	7
DeepSeek V4.1 MLX Q4i	0K / 144.9 GB	2054	1
...sh 1017 EXL3 2.75bpw DGX Spark	0K / 2.3 GB	211	2
...ek V4.1 Flash 1017 EXL3 2.7bpw	0K / 2.3 GB	146	1
...k V4.1 Flash 1017 EXL3 2.87bpw	0K / 2.3 GB	65	1
DeepSeek V4.1 Flash Genesis	0K / 377.8 GB	150	4
....75bpw LegalWeighted DGX Spark	0K / 2.3 GB	35	1
...epSeek V4.1 Flash Lossless CSF	0K / GB	64	1

Note: green Score (e.g. "73.2") means that the model is better than LibertAIDAI/DeepSeek-V4.1-Flash-REAP-256E.