What are the hardware requirements for DeepSeek V4.1 1017 Ablitrated Testmodel?

DeepSeek V4.1 1017 Ablitrated Testmodel requires approximately 299.6 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed DeepSeek V4.1 1017 Ablitrated Testmodel and how large is it?

DeepSeek V4.1 1017 Ablitrated Testmodel is developed by Hikari07jp, 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 1017 Ablitrated Testmodel?

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

DeepSeek V4.1 1017 Ablitrated Testmodel by Hikari07jp — VRAM 299.6GB

Name: DeepSeek V4.1 1017 Ablitrated Testmodel
Author: Hikari07jp

DeepSeek V4.1 1017 Ablitrated Testmodel is an open-source language model by Hikari07jp. Features: 763.2b LLM, VRAM: 299.6GB, License: mit.

8-bit Abliterated Abliteration Base model:deepseek-ai/deepsee... Base model:finetune:deepseek-a... Deepseek Deepseek-v4 Deepseek v41 En Endpoints compatible Experimental Fp8 Image-text-to-text Moe Region:us Safetensors Sharded Tensorflow Test-model Uncensored Zh

Model Card on HF 🤗: https://huggingface.co/Hikari07jp/DeepSeek-V4.1-1017-Ablitrated-testmodel

DeepSeek V4.1 1017 Ablitrated Testmodel Parameters and Internals

LLM Name	DeepSeek V4.1 1017 Ablitrated Testmodel
Repository 🤗	https://huggingface.co/Hikari07jp/DeepSeek-V4.1-1017-Ablitrated-testmodel
Base Model(s)	deepseek-ai/DeepSeek-V4.1-Flash-1017 deepseek-ai/DeepSeek-V4.1-Flash-1017
Model Size	763.2b
Required VRAM	299.6 GB
Updated	2026-10-27
Maintainer	Hikari07jp
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
Supported Languages	en zh
Model Architecture	DeepseekV41ForCausalLM
License	mit
Transformers Version	5.6.0

Rank the DeepSeek V4.1 1017 Ablitrated Testmodel capabilities

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Multi-Language Support and Translation

Best Alternatives to DeepSeek V4.1 1017 Ablitrated Testmodel

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 Hikari07jp/DeepSeek-V4.1-1017-Ablitrated-testmodel.