What are the hardware requirements for Llama SafetyGuard Content Binary?

Llama SafetyGuard Content Binary 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 Llama SafetyGuard Content Binary and how large is it?

Llama SafetyGuard Content Binary is developed by K-intelligence, 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 Llama SafetyGuard Content Binary?

Llama SafetyGuard Content Binary is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama SafetyGuard Content Binary by K-intelligence — VRAM 16.1GB, 8K context

Name: Llama SafetyGuard Content Binary
Author: K-intelligence

Llama SafetyGuard Content Binary is an open-source language model by K-intelligence. Features: 8b LLM, VRAM: 16.1GB, Context: 8K, License: llama3.1, LLM Explorer Score: 0.21.

Arxiv:2509.20057 Arxiv:2509.23381 Base model:finetune:meta-llama... Base model:meta-llama/llama-3.... K-intelligence Ko Llama Region:us Safetensors Safetyguard Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/K-intelligence/Llama-SafetyGuard-Content-Binary

Llama SafetyGuard Content Binary Parameters and Internals

LLM Name	Llama SafetyGuard Content Binary
Repository 🤗	https://huggingface.co/K-intelligence/Llama-SafetyGuard-Content-Binary
Base Model(s)	meta-llama/Llama-3.1-8B meta-llama/Llama-3.1-8B
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-08-04
Maintainer	K-intelligence
Model Type	llama
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
Supported Languages	ko
Model Architecture	LlamaForCausalLM
License	llama3.1
Context Length	8192
Model Max Length	8192
Transformers Version	4.51.3
Tokenizer Class	PreTrainedTokenizer
Padding Token	!
Vocabulary Size	128258
Torch Data Type	bfloat16

Rank the Llama SafetyGuard Content Binary 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 2M Instruct	2096K / 32.1 GB	124	18
Cthulhu 8B V1.4	1048K / 16.1 GB	10	10
...raLong 1M Instruct Abliterated	1048K / 32.1 GB	4	9
...a 3.1 8B UltraLong 1M Instruct	1048K / 32.1 GB	1387	29
...otron 8B UltraLong 1M Instruct	1048K / 32.1 GB	702	59
...xis Bookwriter Llama3.1 8B Sft	1048K / 16.1 GB	25	4

Note: green Score (e.g. "73.2") means that the model is better than K-intelligence/Llama-SafetyGuard-Content-Binary.