What are the hardware requirements for Wokediffusion Sota Agi 812z?

Wokediffusion Sota Agi 812z requires a context window of 1024K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Wokediffusion Sota Agi 812z and how large is it?

Wokediffusion Sota Agi 812z is developed by wave-on-discord. 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 Wokediffusion Sota Agi 812z?

Wokediffusion Sota Agi 812z is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Wokediffusion Sota Agi 812z by wave-on-discord — 1024K context

Name: Wokediffusion Sota Agi 812z
Author: wave-on-discord

Wokediffusion Sota Agi 812z is an open-source language model by wave-on-discord. Features: LLM, Context: 1024K, License: mit.

Conversational Custom code Diffusion Region:us Safetensors Wokediffusion

Model Card on HF 🤗: https://huggingface.co/wave-on-discord/wokediffusion-sota-agi-812z

Wokediffusion Sota Agi 812z Parameters and Internals

LLM Name	Wokediffusion Sota Agi 812z
Repository 🤗	https://huggingface.co/wave-on-discord/wokediffusion-sota-agi-812z
Required VRAM	0 GB
Updated	2026-10-27
Maintainer	wave-on-discord
Model Type	wokediffusion
Model Files	0.0 GB
Model Architecture	WokeDiffusionForBlockDiffusion
License	mit
Context Length	1048576
Model Max Length	1048576
Transformers Version	5.20.2
Tokenizer Class	TokenizersBackend
Padding Token	[DIFFUSION_COMPILER_PAD]

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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