What are the hardware requirements for SuperDeepseek V4 Flash Abliterated?

SuperDeepseek V4 Flash Abliterated requires approximately 145.1 GB of VRAM and supports a context window of 1024K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed SuperDeepseek V4 Flash Abliterated and how large is it?

SuperDeepseek V4 Flash Abliterated is developed by Jiunsong, a model with 1m 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 SuperDeepseek V4 Flash Abliterated?

SuperDeepseek V4 Flash Abliterated is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

SuperDeepseek V4 Flash Abliterated by Jiunsong — VRAM 145.1GB, 1024K context

Name: SuperDeepseek V4 Flash Abliterated
Author: Jiunsong

SuperDeepseek V4 Flash Abliterated is an open-source language model by Jiunsong. Features: 1m LLM, VRAM: 145.1GB, Context: 1024K, License: mit, LLM Explorer Score: 0.32.

1m-context 8-bit Abliterated Base model:deepseek-ai/deepsee... Base model:finetune:deepseek-a... Bf16 Deepseek-v4 Deepseek v4 En Endpoints compatible Fp4 Fp8 Ko Long-context Mixed-precision Mixture-of-experts Obliteratus Reasoning Region:us Safetensors Sharded Supertune Tensorflow Tool-calling Uncensored Vllm

Model Card on HF 🤗: https://huggingface.co/Jiunsong/SuperDeepseek-V4-Flash-abliterated

SuperDeepseek V4 Flash Abliterated Parameters and Internals

LLM Name	SuperDeepseek V4 Flash Abliterated
Repository 🤗	https://huggingface.co/Jiunsong/SuperDeepseek-V4-Flash-abliterated
Base Model(s)	DeepSeek V4 Flash 0731 deepseek-ai/DeepSeek-V4-Flash-0731
Model Size	1m
Required VRAM	145.1 GB
Updated	2026-08-13
Maintainer	Jiunsong
Model Type	deepseek_v4
Model Files	1.1 GB: 1-of-48 3.6 GB: 2-of-48 3.6 GB: 3-of-48 3.6 GB: 4-of-48 3.6 GB: 5-of-48 3.6 GB: 6-of-48 3.6 GB: 7-of-48 3.6 GB: 8-of-48 3.6 GB: 9-of-48 3.6 GB: 10-of-48 3.6 GB: 11-of-48 3.6 GB: 12-of-48 3.6 GB: 13-of-48 3.6 GB: 14-of-48 3.6 GB: 15-of-48 3.6 GB: 16-of-48 3.6 GB: 17-of-48 3.6 GB: 18-of-48 3.6 GB: 19-of-48 3.6 GB: 20-of-48 3.6 GB: 21-of-48 3.6 GB: 22-of-48 3.6 GB: 23-of-48 3.6 GB: 24-of-48 3.6 GB: 25-of-48 3.6 GB: 26-of-48 3.6 GB: 27-of-48 3.6 GB: 28-of-48 3.6 GB: 29-of-48 3.6 GB: 30-of-48 3.6 GB: 31-of-48 3.6 GB: 32-of-48 3.6 GB: 33-of-48 3.6 GB: 34-of-48 3.6 GB: 35-of-48 3.6 GB: 36-of-48 3.6 GB: 37-of-48 3.6 GB: 38-of-48 3.6 GB: 39-of-48 3.6 GB: 40-of-48 3.6 GB: 41-of-48
Supported Languages	en ko
Model Architecture	DeepseekV4ForCausalLM
License	mit
Context Length	1048576
Model Max Length	1048576
Transformers Version	4.57.1
Vocabulary Size	129280
Torch Data Type	bfloat16

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Best Alternatives to SuperDeepseek V4 Flash Abliterated

Best Alternatives	Context / RAM	Downloads	Likes
... V4 Flash Abliterated MQ 2xDGX	1024K / 145.1 GB	291	26

Note: green Score (e.g. "73.2") means that the model is better than Jiunsong/SuperDeepseek-V4-Flash-abliterated.