What are the hardware requirements for Thespis Llama 3.1 8B?

Thespis 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 Thespis Llama 3.1 8B and how large is it?

Thespis 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 Thespis Llama 3.1 8B?

Thespis 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.

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

Name: Thespis Llama 3.1 8B
Author: Locutusque

Thespis Llama 3.1 8B is an open-source language model by Locutusque. Features: 8b LLM, VRAM: 16GB, Context: 128K, License: llama3.1, Quantized, Instruction-Based, LLM Explorer Score: 0.17.

4bit Base model:finetune:mlabonne/m... Base model:mlabonne/meta-llama... Conversational Dataset:roleplay4fun/aesir-v1.... En Endpoints compatible Grpo Instruct Llama Quantized Region:us Safetensors Sharded Tensorflow Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/Locutusque/Thespis-Llama-3.1-8B

Thespis Llama 3.1 8B Parameters and Internals

LLM Name	Thespis Llama 3.1 8B
Repository 🤗	https://huggingface.co/Locutusque/Thespis-Llama-3.1-8B
Base Model(s)	mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated
Model Size	8b
Required VRAM	16 GB
Updated	2026-07-11
Maintainer	Locutusque
Model Type	llama
Instruction-Based	Yes
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
Quantization Type	4bit
Model Architecture	LlamaForCausalLM
License	llama3.1
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	float16

Rank the Thespis 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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