What are the hardware requirements for Llama3.3 70B CogniLink?

Llama3.3 70B CogniLink requires approximately 141.9 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama3.3 70B CogniLink and how large is it?

Llama3.3 70B CogniLink is developed by Daemontatox, a model with 70b 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 Llama3.3 70B CogniLink?

Llama3.3 70B CogniLink is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama3.3 70B CogniLink by Daemontatox — VRAM 141.9GB, 128K context

Name: Llama3.3 70B CogniLink
Author: Daemontatox

Llama3.3 70B CogniLink is an open-source language model by Daemontatox. Features: 70b LLM, VRAM: 141.9GB, Context: 128K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.28.

4bit Base model:finetune:meta-llama... Base model:meta-llama/llama-3.... Chain-of-thought Conversational Cot Dataset:daemontatox/deepthinki... Dataset:gghfez/qwq-longcot-130... Deploy:azure En Endpoints compatible Instruct Llama Model-index Quantized Reasoning Region:us Research Rl Safetensors Sharded Sota State-of-the-art Tensorflow

Model Card on HF 🤗: https://huggingface.co/Daemontatox/Llama3.3-70B-CogniLink

Llama3.3 70B CogniLink Parameters and Internals

LLM Name	Llama3.3 70B CogniLink
Repository 🤗	https://huggingface.co/Daemontatox/Llama3.3-70B-CogniLink
Base Model(s)	meta-llama/Llama-3.3-70B-Instruct meta-llama/Llama-3.3-70B-Instruct
Model Size	70b
Required VRAM	141.9 GB
Updated	2026-09-06
Maintainer	Daemontatox
Model Type	llama
Instruction-Based	Yes
Model Files	4.6 GB: 1-of-30 4.7 GB: 2-of-30 5.0 GB: 3-of-30 5.0 GB: 4-of-30 4.7 GB: 5-of-30 4.7 GB: 6-of-30 4.7 GB: 7-of-30 5.0 GB: 8-of-30 5.0 GB: 9-of-30 4.7 GB: 10-of-30 4.7 GB: 11-of-30 4.7 GB: 12-of-30 5.0 GB: 13-of-30 5.0 GB: 14-of-30 4.7 GB: 15-of-30 4.7 GB: 16-of-30 4.7 GB: 17-of-30 5.0 GB: 18-of-30 5.0 GB: 19-of-30 4.7 GB: 20-of-30 4.7 GB: 21-of-30 4.7 GB: 22-of-30 5.0 GB: 23-of-30 5.0 GB: 24-of-30 4.7 GB: 25-of-30 4.7 GB: 26-of-30 4.7 GB: 27-of-30 5.0 GB: 28-of-30 5.0 GB: 29-of-30 2.1 GB: 30-of-30
Supported Languages	en
Quantization Type	4bit
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.47.1
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
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Data Analysis and Insight Generation
Text Generation
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