What are the hardware requirements for Liberalis Cogitator Llama 3.1 8B?

Liberalis Cogitator Llama 3.1 8B requires approximately 16 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 Liberalis Cogitator Llama 3.1 8B and how large is it?

Liberalis Cogitator Llama 3.1 8B is developed by Locutusque, a model with 8b 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 Liberalis Cogitator Llama 3.1 8B?

Liberalis Cogitator Llama 3.1 8B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Liberalis Cogitator Llama 3.1 8B by Locutusque — VRAM 16GB, 128K context

Name: Liberalis Cogitator Llama 3.1 8B
Author: Locutusque

Liberalis Cogitator Llama 3.1 8B is an open-source language model by Locutusque. Features: 8b LLM, VRAM: 16GB, Context: 128K, License: llama3.1, LLM Explorer Score: 0.19.

Base model:finetune:meta-llama... Base model:meta-llama/llama-3.... En Endpoints compatible Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Locutusque/liberalis-cogitator-llama-3.1-8b

Liberalis Cogitator Llama 3.1 8B Parameters and Internals

LLM Name	Liberalis Cogitator Llama 3.1 8B
Repository 🤗	https://huggingface.co/Locutusque/liberalis-cogitator-llama-3.1-8b
Base Model(s)	meta-llama/Llama-3.1-8B meta-llama/Llama-3.1-8B
Model Size	8b
Required VRAM	16 GB
Updated	2026-06-17
Maintainer	Locutusque
Model Type	llama
Model Files	3.0 GB: 1-of-6 2.9 GB: 2-of-6 3.0 GB: 3-of-6 2.9 GB: 4-of-6 2.9 GB: 5-of-6 1.3 GB: 6-of-6
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	llama3.1
Context Length	131072
Model Max Length	131072
Transformers Version	4.53.0
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|end_of_text\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Liberalis Cogitator Llama 3.1 8B capabilities

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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

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...otron 8B UltraLong 1M Instruct	1048K / 32.1 GB	702	59
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Note: green Score (e.g. "73.2") means that the model is better than Locutusque/liberalis-cogitator-llama-3.1-8b.