What are the hardware requirements for DeepSeek V4 Flash 0731 JANG CRACK?

DeepSeek V4 Flash 0731 JANG CRACK requires approximately 38 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 DeepSeek V4 Flash 0731 JANG CRACK and how large is it?

DeepSeek V4 Flash 0731 JANG CRACK is developed by dealignai, a model with 31.4b 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 Flash 0731 JANG CRACK?

DeepSeek V4 Flash 0731 JANG CRACK is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

DeepSeek V4 Flash 0731 JANG CRACK by dealignai — VRAM 38GB, 1024K context

Name: DeepSeek V4 Flash 0731 JANG CRACK
Author: dealignai

DeepSeek V4 Flash 0731 JANG CRACK is an open-source language model by dealignai. Features: 31.4b LLM, VRAM: 38GB, Context: 1024K, License: mit, Quantized, LLM Explorer Score: 0.38.

Abliterated Awq Base model:deepseek-ai/deepsee... Base model:finetune:deepseek-a... Crack Deepseek Deepseek-v4 Deepseek v4 En Gptq Jang Long-context Mlx Moe Quantized Reasoning Region:us Safetensors Sharded Tensorflow Uncensored Zh

Model Card on HF 🤗: https://huggingface.co/dealignai/DeepSeek-V4-Flash-0731-JANG-CRACK

DeepSeek V4 Flash 0731 JANG CRACK Parameters and Internals

LLM Name	DeepSeek V4 Flash 0731 JANG CRACK
Repository 🤗	https://huggingface.co/dealignai/DeepSeek-V4-Flash-0731-JANG-CRACK
Base Model(s)	DeepSeek V4 Flash 0731 deepseek-ai/DeepSeek-V4-Flash-0731
Model Size	31.4b
Required VRAM	38 GB
Updated	2026-08-11
Maintainer	dealignai
Model Type	deepseek_v4
Model Files	1.0 GB: 1-of-102 1.0 GB: 2-of-102 1.0 GB: 3-of-102 1.0 GB: 4-of-102 1.0 GB: 5-of-102 1.0 GB: 6-of-102 1.0 GB: 7-of-102 1.0 GB: 8-of-102 1.0 GB: 9-of-102 1.0 GB: 10-of-102 1.0 GB: 11-of-102 1.0 GB: 12-of-102 1.0 GB: 13-of-102 1.0 GB: 14-of-102 1.0 GB: 15-of-102 1.0 GB: 16-of-102 1.0 GB: 17-of-102 1.0 GB: 18-of-102 1.0 GB: 19-of-102 1.0 GB: 20-of-102 1.0 GB: 21-of-102 1.0 GB: 22-of-102 1.0 GB: 23-of-102 1.0 GB: 24-of-102 1.0 GB: 25-of-102 1.0 GB: 26-of-102 1.0 GB: 27-of-102 1.0 GB: 28-of-102 1.0 GB: 29-of-102 1.0 GB: 30-of-102 1.0 GB: 31-of-102 1.0 GB: 32-of-102 1.0 GB: 33-of-102 1.0 GB: 34-of-102 1.0 GB: 35-of-102 1.0 GB: 36-of-102 1.0 GB: 37-of-102 1.0 GB: 38-of-102
Supported Languages	en zh
GPTQ Quantization	Yes
AWQ Quantization	Yes
Quantization Type	gptq\|awq
Model Architecture	DeepseekV4ForCausalLM
License	mit
Context Length	1048576
Model Max Length	1048576
Transformers Version	4.57.1
Vocabulary Size	129280
Torch Data Type	bfloat16

Rank the DeepSeek V4 Flash 0731 JANG CRACK 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 Flash 0731 JANG CRACK

Best Alternatives	Context / RAM	Downloads	Likes
DeepSeek V4 Flash 0731 JANG	1024K / 37 GB	2432	9