What are the hardware requirements for Meta Llama 3 8B Instruct DeepRefusal?

Meta Llama 3 8B Instruct DeepRefusal requires approximately 16.1 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Meta Llama 3 8B Instruct DeepRefusal and how large is it?

Meta Llama 3 8B Instruct DeepRefusal is developed by skysys00, 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 Meta Llama 3 8B Instruct DeepRefusal?

Meta Llama 3 8B Instruct DeepRefusal is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Meta Llama 3 8B Instruct DeepRefusal by skysys00 — VRAM 16.1GB, 8K context

Name: Meta Llama 3 8B Instruct DeepRefusal
Author: skysys00

Meta Llama 3 8B Instruct DeepRefusal is an open-source language model by skysys00. Features: 8b LLM, VRAM: 16.1GB, Context: 8K, Instruction-Based, LLM Explorer Score: 0.24.

Arxiv:2509.15202 Conversational En Instruct Llama Region:us Safetensors Safetyalignment Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/skysys00/Meta-Llama-3-8B-Instruct-DeepRefusal

Meta Llama 3 8B Instruct DeepRefusal Parameters and Internals

LLM Name	Meta Llama 3 8B Instruct DeepRefusal
Repository 🤗	https://huggingface.co/skysys00/Meta-Llama-3-8B-Instruct-DeepRefusal
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-05-17
Maintainer	skysys00
Model Type	llama
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 4.9 GB: 3-of-4 1.2 GB: 4-of-4
Model Architecture	LlamaForCausalLM
Context Length	8192
Model Max Length	8192
Transformers Version	4.57.3
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|end_of_text\|>
Vocabulary Size	128256

Rank the Meta Llama 3 8B Instruct DeepRefusal 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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