What are the hardware requirements for Cogito 671B V2.1?

Cogito 671B V2.1 requires approximately 219.9 GB of VRAM and supports a context window of 160K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Cogito 671B V2.1 and how large is it?

Cogito 671B V2.1 is developed by deepcogito, a model with 671b 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 Cogito 671B V2.1?

Cogito 671B V2.1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Cogito 671B V2.1 by deepcogito — VRAM 219.9GB, 160K context

Name: Cogito 671B V2.1
Author: deepcogito

Cogito 671B V2.1 is an open-source language model by deepcogito. Features: 671b LLM, VRAM: 219.9GB, Context: 160K, License: mit, LLM Explorer Score: 0.21.

Base model:deepseek-ai/deepsee... Base model:finetune:deepseek-a... Conversational Custom code Deepseek v3 Endpoints compatible Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/deepcogito/cogito-671b-v2.1

Cogito 671B V2.1 Parameters and Internals

LLM Name	Cogito 671B V2.1
Repository 🤗	https://huggingface.co/deepcogito/cogito-671b-v2.1
Base Model(s)	DeepSeek V3 Base deepseek-ai/DeepSeek-V3-Base
Model Size	671b
Required VRAM	219.9 GB
Updated	2026-06-18
Maintainer	deepcogito
Model Type	deepseek_v3
Model Files	4.9 GB: 1-of-270 5.0 GB: 2-of-270 5.0 GB: 3-of-270 5.0 GB: 4-of-270 5.0 GB: 5-of-270 5.0 GB: 6-of-270 5.0 GB: 7-of-270 5.0 GB: 8-of-270 5.0 GB: 9-of-270 5.0 GB: 10-of-270 5.0 GB: 11-of-270 5.0 GB: 12-of-270 5.0 GB: 13-of-270 5.0 GB: 14-of-270 5.0 GB: 15-of-270 5.0 GB: 16-of-270 5.0 GB: 17-of-270 5.0 GB: 18-of-270 5.0 GB: 19-of-270 5.0 GB: 20-of-270 5.0 GB: 21-of-270 5.0 GB: 22-of-270 5.0 GB: 23-of-270 5.0 GB: 24-of-270 5.0 GB: 25-of-270 5.0 GB: 26-of-270 5.0 GB: 27-of-270 5.0 GB: 28-of-270 5.0 GB: 29-of-270 5.0 GB: 30-of-270 5.0 GB: 31-of-270 5.0 GB: 32-of-270 5.0 GB: 33-of-270 5.0 GB: 34-of-270 5.0 GB: 35-of-270 5.0 GB: 36-of-270 5.0 GB: 37-of-270 5.0 GB: 38-of-270 5.0 GB: 39-of-270 5.0 GB: 40-of-270 5.0 GB: 41-of-270 5.0 GB: 42-of-270 5.0 GB: 43-of-270 5.0 GB: 44-of-270
Model Architecture	DeepseekV3ForCausalLM
License	mit
Context Length	163840
Model Max Length	163840
Transformers Version	4.57.1
Vocabulary Size	128815

Rank the Cogito 671B V2.1 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 Cogito 671B V2.1

Best Alternatives	Context / RAM	Downloads	Likes
R1 1776	160K / 243.4 GB	855	2324
DeepSeek Prover V2 671B	160K / 189 GB	562	831
Deepseek V3.1 MLX 5.5bit	160K / 231 GB	339	5
MAI DS R1	160K / 171.7 GB	333	306
...o V2 Preview Deepseek 671B MoE	160K / 219.9 GB	118	37
DeepSeek Prover V2 671B	160K / 184.7 GB	9	3
DeepSeek V3.1 Terminus 4bit	160K / 190.1 GB	42	2
RakutenAI 3.0 MLX 4bit	160K / 198.7 GB	28	2
DeepSeek V3.1 8bit	160K / 177.8 GB	4268	3
DeepSeek V3.1 4bit	160K / 190.1 GB	2974	6

Note: green Score (e.g. "73.2") means that the model is better than deepcogito/cogito-671b-v2.1.