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

DeepSeek V4.1 Flash Abliterated requires approximately 302.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

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

DeepSeek V4.1 Flash Abliterated is developed by mIn-MAXsystem-Htz, 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 Abliterated?

DeepSeek V4.1 Flash Abliterated 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 Abliterated by mIn-MAXsystem-Htz — VRAM 302.2GB

Name: DeepSeek V4.1 Flash Abliterated
Author: mIn-MAXsystem-Htz

DeepSeek V4.1 Flash Abliterated is an open-source language model by mIn-MAXsystem-Htz. Features: 763.2b LLM, VRAM: 302.2GB, License: mit, LLM Explorer Score: 0.25.

8-bit Abliterated Base model:deepseek-ai/deepsee... Base model:finetune:deepseek-a... Deepseek-v4.1 Deepseek v41 Fp8 Heretic Image-text-to-text Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mIn-MAXsystem-Htz/DeepSeek-V4.1-Flash-Abliterated

DeepSeek V4.1 Flash Abliterated Parameters and Internals

LLM Name	DeepSeek V4.1 Flash Abliterated
Repository 🤗	https://huggingface.co/mIn-MAXsystem-Htz/DeepSeek-V4.1-Flash-Abliterated
Base Model(s)	deepseek-ai/DeepSeek-V4.1-Flash deepseek-ai/DeepSeek-V4.1-Flash
Model Size	763.2b
Required VRAM	302.2 GB
Updated	2026-09-15
Maintainer	mIn-MAXsystem-Htz
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 7.4 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 Abliterated 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 Abliterated

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
DeepSeek V4.1 Flash 1017	0K / 299.6 GB	700	11
...k V4.1 Flash 1017 DERISKED FP8	0K / 299.6 GB	356	16
...epSeek V4.1 Flash 1017 Genesis	0K / 302.2 GB	388	3
...epSeek V4.1 Flash 1017 Heretic	0K / 283.5 GB	363	9
...V4.1 1017 Ablitrated Efficient	0K / 283.5 GB	362	3
...V4.1 1017 Ablitrated Testmodel	0K / 299.6 GB	131	6
WARMIND 1017	0K / 283.5 GB	77	2

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