What are the hardware requirements for Forgotten Safeword 70B V5.0?

Forgotten Safeword 70B V5.0 requires approximately 141.9 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 Forgotten Safeword 70B V5.0 and how large is it?

Forgotten Safeword 70B V5.0 is developed by ReadyArt, a model with 70b 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 Forgotten Safeword 70B V5.0?

Forgotten Safeword 70B V5.0 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Forgotten Safeword 70B V5.0 by ReadyArt — VRAM 141.9GB, 128K context

Name: Forgotten Safeword 70B V5.0
Author: ReadyArt

Forgotten Safeword 70B V5.0 is an open-source language model by ReadyArt. Features: 70b LLM, VRAM: 141.9GB, Context: 128K, License: llama3.3, LLM Explorer Score: 0.17.

Base model:finetune:sicariussi... Base model:sicariussicariistuf... Conversational Dangerous En Erp Explicit Llama Nsfw Region:us Roleplay Safetensors Sharded Tensorflow Unaligned

Model Card on HF 🤗: https://huggingface.co/ReadyArt/Forgotten-Safeword-70B-v5.0

Forgotten Safeword 70B V5.0 Parameters and Internals

LLM Name	Forgotten Safeword 70B V5.0
Repository 🤗	https://huggingface.co/ReadyArt/Forgotten-Safeword-70B-v5.0
Base Model(s)	Negative LLAMA 70B SicariusSicariiStuff/Negative_LLAMA_70B
Model Size	70b
Required VRAM	141.9 GB
Updated	2025-10-27
Maintainer	ReadyArt
Model Type	llama
Model Files	4.6 GB: 1-of-30 4.7 GB: 2-of-30 5.0 GB: 3-of-30 5.0 GB: 4-of-30 4.7 GB: 5-of-30 4.7 GB: 6-of-30 4.7 GB: 7-of-30 5.0 GB: 8-of-30 5.0 GB: 9-of-30 4.7 GB: 10-of-30 4.7 GB: 11-of-30 4.7 GB: 12-of-30 5.0 GB: 13-of-30 5.0 GB: 14-of-30 4.7 GB: 15-of-30 4.7 GB: 16-of-30 4.7 GB: 17-of-30 5.0 GB: 18-of-30 5.0 GB: 19-of-30 4.7 GB: 20-of-30 4.7 GB: 21-of-30 4.7 GB: 22-of-30 5.0 GB: 23-of-30 5.0 GB: 24-of-30 4.7 GB: 25-of-30 4.7 GB: 26-of-30 4.7 GB: 27-of-30 5.0 GB: 28-of-30 5.0 GB: 29-of-30 2.1 GB: 30-of-30
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	llama3.3
Context Length	131072
Model Max Length	131072
Transformers Version	4.48.3
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Forgotten Safeword 70B V5.0 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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