What are the hardware requirements for Cortex Ai?

Cortex Ai requires approximately 446.7 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 Cortex Ai and how large is it?

Cortex Ai is developed by Frankenstein-Labs, a model with 1650.5b 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 Cortex Ai?

Cortex Ai is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Cortex Ai by Frankenstein-Labs — VRAM 446.7GB, 1024K context

Name: Cortex Ai
Author: Frankenstein-Labs

Cortex Ai is an open-source language model by Frankenstein-Labs. Features: 1650.5b LLM, VRAM: 446.7GB, Context: 1024K, License: mit, LLM Explorer Score: 0.33.

Arxiv:2606.19348 8-bit Afrique Base model:deepseek-ai/deepsee... Base model:quantized:deepseek-... Code-generation Cortex-ai Deepseek v4 En Endpoints compatible Fp8 Fr Francophone Long-context Moe Reasoning Region:us Safetensors Sharded Tensorflow Zh

Model Card on HF 🤗: https://huggingface.co/Frankenstein-Labs/Cortex-ai

Cortex Ai Parameters and Internals

LLM Name	Cortex Ai
Repository 🤗	https://huggingface.co/Frankenstein-Labs/Cortex-ai
Base Model(s)	DeepSeek V4 Pro 0813 deepseek-ai/DeepSeek-V4-Pro-0813
Model Size	1650.5b
Required VRAM	446.7 GB
Updated	2026-09-19
Maintainer	Frankenstein-Labs
Model Type	deepseek_v4
Model Files	1.9 GB: 1-of-66 13.9 GB: 2-of-66 13.9 GB: 3-of-66 13.9 GB: 4-of-66 13.9 GB: 5-of-66 13.9 GB: 6-of-66 13.9 GB: 7-of-66 13.9 GB: 8-of-66 13.9 GB: 9-of-66 13.9 GB: 10-of-66 13.9 GB: 11-of-66 13.9 GB: 12-of-66 13.9 GB: 13-of-66 13.9 GB: 14-of-66 13.9 GB: 15-of-66 13.9 GB: 16-of-66 13.9 GB: 17-of-66 13.9 GB: 18-of-66 13.9 GB: 19-of-66 13.9 GB: 20-of-66 13.9 GB: 21-of-66 13.9 GB: 22-of-66 13.9 GB: 23-of-66 13.9 GB: 24-of-66 13.9 GB: 25-of-66 13.9 GB: 26-of-66 13.9 GB: 27-of-66 13.9 GB: 28-of-66 13.9 GB: 29-of-66 13.9 GB: 30-of-66 13.9 GB: 31-of-66 13.9 GB: 32-of-66 13.9 GB: 33-of-66
Supported Languages	fr en zh
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 Cortex Ai 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 Cortex Ai

Best Alternatives	Context / RAM	Downloads	Likes
DeepSeek V4 Pro DSpark	1024K / 585.7 GB	47597	535
DeepSeek V4 Pro 0813	1024K / 571.8 GB	317	4
DeepSeek V4 Pro 0813	1024K / 585.7 GB	245	424
...pSeek V4 Pro 0813 Nvfp4 DSpark	1024K / 604.6 GB	991	4
DeepSeek V4 Pro 0813 NVFP4	1024K / 604.6 GB	149	4
DeepSeek V4 Pro Nvfp4 DSpark	1024K / 560.5 GB	649	1

Note: green Score (e.g. "73.2") means that the model is better than Frankenstein-Labs/Cortex-ai.