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

DeepSeek V4.1 Flash requires approximately 290.9 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

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

DeepSeek V4.1 Flash is developed by Techgeekintown, a model with 763.2b 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 V4.1 Flash?

DeepSeek V4.1 Flash 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 by Techgeekintown — VRAM 290.9GB

Name: DeepSeek V4.1 Flash
Author: Techgeekintown

DeepSeek V4.1 Flash is an open-source language model by Techgeekintown. Features: 763.2b LLM, VRAM: 290.9GB, License: mit, LLM Explorer Score: 0.28.

8-bit Deepseek v41 Endpoints compatible Fp8 Image-text-to-text Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Techgeekintown/DeepSeek-V4.1-Flash

DeepSeek V4.1 Flash Parameters and Internals

LLM Name	DeepSeek V4.1 Flash
Repository 🤗	https://huggingface.co/Techgeekintown/DeepSeek-V4.1-Flash
Model Size	763.2b
Required VRAM	290.9 GB
Updated	2026-09-16
Maintainer	Techgeekintown
Model Type	deepseek_v41
Model Files	1.0 GB: 1-of-48 1.3 GB: 2-of-48 7.4 GB: 3-of-48 7.4 GB: 4-of-48 7.4 GB: 5-of-48 7.4 GB: 6-of-48 7.4 GB: 7-of-48 7.4 GB: 8-of-48 7.4 GB: 9-of-48 7.4 GB: 10-of-48 7.4 GB: 11-of-48 7.4 GB: 12-of-48 7.4 GB: 13-of-48 7.4 GB: 14-of-48 7.4 GB: 15-of-48 7.4 GB: 16-of-48 7.4 GB: 17-of-48 7.4 GB: 18-of-48 7.4 GB: 19-of-48 7.4 GB: 20-of-48 7.4 GB: 21-of-48 7.4 GB: 22-of-48 7.4 GB: 23-of-48 7.4 GB: 24-of-48 7.4 GB: 25-of-48 7.4 GB: 26-of-48 7.4 GB: 27-of-48 7.4 GB: 28-of-48 7.4 GB: 29-of-48 7.4 GB: 30-of-48 7.4 GB: 31-of-48 7.4 GB: 32-of-48 7.4 GB: 33-of-48 7.4 GB: 34-of-48 7.4 GB: 35-of-48 7.4 GB: 36-of-48 7.4 GB: 37-of-48 7.4 GB: 38-of-48 7.4 GB: 39-of-48 7.4 GB: 40-of-48 7.4 GB: 41-of-48
Model Architecture	DeepseekV41ForCausalLM
License	mit
Transformers Version	5.6.0

Rank the DeepSeek V4.1 Flash 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

Best Alternatives	Context / RAM	Downloads	Likes
DeepSeek V4.1 Flash	0K / 290.9 GB	75774	1760
...epSeek V4.1 Flash NVFP4 Nvidia	0K / 298.7 GB	495	5
...eepSeek V4.1 Flash Abliterated	0K / 302.2 GB	273	3
...eepSeek V4.1 Flash Abliterated	0K / 302.2 GB	57	2
DeepSeek V4.1 Flash NVFP4	0K / 314.3 GB	44	2
...Seek V4.1 Flash UNCENSORED FP8	0K / 307.5 GB	2254	103
...epSeek V4.1 Flash MLX 2bit MTP	0K / 175.6 GB	2545	5
...lfImprovement AgentSwarm Ultra	0K / 304.8 GB	235	3
DeepSeek V4.1 Flash FP8 GGUF	0K / 283.5 GB	6707	2

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