What are the hardware requirements for Artifex Rp Orpheus Llama 3.1 8B?

Artifex Rp Orpheus Llama 3.1 8B requires approximately 16.1 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 Artifex Rp Orpheus Llama 3.1 8B and how large is it?

Artifex Rp Orpheus Llama 3.1 8B is developed by darthcrawl, 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 Artifex Rp Orpheus Llama 3.1 8B?

Artifex Rp Orpheus 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.

Artifex Rp Orpheus Llama 3.1 8B by darthcrawl — VRAM 16.1GB, 128K context

Name: Artifex Rp Orpheus Llama 3.1 8B
Author: darthcrawl

Artifex Rp Orpheus Llama 3.1 8B is an open-source language model by darthcrawl. Features: 8b LLM, VRAM: 16.1GB, Context: 128K, License: llama3.1, Instruction-Based, LLM Explorer Score: 0.24.

Artifex Base model:finetune:meta-llama... Base model:meta-llama/llama-3.... Conversational Creative-writing En Endpoints compatible Instruct Llama Prose-style Region:us Roleplay Safetensors

Model Card on HF 🤗: https://huggingface.co/darthcrawl/artifex-rp-orpheus-llama-3.1-8b

Artifex Rp Orpheus Llama 3.1 8B Parameters and Internals

LLM Name	Artifex Rp Orpheus Llama 3.1 8B
Repository 🤗	https://huggingface.co/darthcrawl/artifex-rp-orpheus-llama-3.1-8b
Base Model(s)	meta-llama/Llama-3.1-8B-Instruct meta-llama/Llama-3.1-8B-Instruct
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-05-12
Maintainer	darthcrawl
Model Type	llama
Instruction-Based	Yes
Model Files	16.1 GB
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	llama3.1
Context Length	131072
Model Max Length	131072
Transformers Version	5.7.0
Tokenizer Class	TokenizersBackend
Vocabulary Size	128256

Rank the Artifex Rp Orpheus 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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