What are the hardware requirements for Cyberneurova DeepSeek V4.1 Flash 1017?

Cyberneurova DeepSeek V4.1 Flash 1017 requires approximately 391.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Cyberneurova DeepSeek V4.1 Flash 1017 and how large is it?

Cyberneurova DeepSeek V4.1 Flash 1017 is developed by cyberneurova, 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 Cyberneurova DeepSeek V4.1 Flash 1017?

Cyberneurova DeepSeek V4.1 Flash 1017 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Cyberneurova DeepSeek V4.1 Flash 1017 by cyberneurova — VRAM 391.5GB

Name: Cyberneurova DeepSeek V4.1 Flash 1017
Author: cyberneurova

Cyberneurova DeepSeek V4.1 Flash 1017 is an open-source language model by cyberneurova. Features: 763.2b LLM, VRAM: 391.5GB, License: mit.

Abliterated Base model:deepseek-ai/deepsee... Base model:quantized:deepseek-... Cyberneurova Deepseek Deepseek v41 Fp8 Moe Reasoning Region:us Safetensors Sharded Tensorflow Uncensored

Model Card on HF 🤗: https://huggingface.co/cyberneurova/cyberneurova-DeepSeek-V4.1-Flash-1017

Cyberneurova DeepSeek V4.1 Flash 1017 Parameters and Internals

LLM Name	Cyberneurova DeepSeek V4.1 Flash 1017
Repository 🤗	https://huggingface.co/cyberneurova/cyberneurova-DeepSeek-V4.1-Flash-1017
Base Model(s)	deepseek-ai/DeepSeek-V4.1-Flash-1017 deepseek-ai/DeepSeek-V4.1-Flash-1017
Model Size	763.2b
Required VRAM	391.5 GB
Updated	2026-10-27
Maintainer	cyberneurova
Model Type	deepseek_v41
Model Files	1.0 GB: 1-of-48 1.3 GB: 2-of-48 9.5 GB: 3-of-48 9.5 GB: 4-of-48 9.5 GB: 5-of-48 9.5 GB: 6-of-48 9.5 GB: 7-of-48 9.5 GB: 8-of-48 9.5 GB: 9-of-48 9.5 GB: 10-of-48 9.5 GB: 11-of-48 9.5 GB: 12-of-48 9.5 GB: 13-of-48 9.5 GB: 14-of-48 9.5 GB: 15-of-48 9.5 GB: 16-of-48 9.5 GB: 17-of-48 9.5 GB: 18-of-48 9.5 GB: 19-of-48 9.5 GB: 20-of-48 9.5 GB: 21-of-48 9.5 GB: 22-of-48 9.5 GB: 23-of-48 9.5 GB: 24-of-48 9.5 GB: 25-of-48 9.5 GB: 26-of-48 9.5 GB: 27-of-48 9.5 GB: 28-of-48 9.5 GB: 29-of-48 9.5 GB: 30-of-48 9.5 GB: 31-of-48 9.5 GB: 32-of-48 9.5 GB: 33-of-48 9.5 GB: 34-of-48 9.5 GB: 35-of-48 9.5 GB: 36-of-48 9.5 GB: 37-of-48 9.5 GB: 38-of-48 9.5 GB: 39-of-48 9.5 GB: 40-of-48 9.5 GB: 41-of-48 9.5 GB: 42-of-48 1.3 GB: 43-of-48 2.6 GB: 44-of-48 2.6 GB: 45-of-48 2.7 GB: 46-of-48
Model Architecture	DeepseekV41ForCausalLM
License	mit
Transformers Version	5.6.0

Rank the Cyberneurova DeepSeek V4.1 Flash 1017 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 Cyberneurova DeepSeek V4.1 Flash 1017

Best Alternatives	Context / RAM	Downloads	Likes
DeepSeek V4.1 Flash	0K / 290.9 GB	75774	1760
DeepSeek V4.1 Flash 1017	0K / 302.2 GB	42122	2137
DeepSeek V4.1 Flash NVFP4	0K / 315.6 GB	2413	82
...k V4.1 Flash 1017 DERISKED FP8	0K / 299.6 GB	356	16
DeepSeek V4.1 Flash 1017	0K / 299.6 GB	700	11
...epSeek V4.1 Flash 1017 Heretic	0K / 283.5 GB	363	9
... V4.1 Flash 1017 Heretic NVFP4	0K / 298.7 GB	151	1
DeepSeek V4.1 Flash Copy	0K / 276.1 GB	89	2
...epSeek V4.1 Flash NVFP4 Nvidia	0K / 298.7 GB	295	5
DeepSeek V4.1 Flash NVFP4	0K / 315.6 GB	180	1

Note: green Score (e.g. "73.2") means that the model is better than cyberneurova/cyberneurova-DeepSeek-V4.1-Flash-1017.