What are the hardware requirements for Fallen Safeword 70B R1 V4.1?

Fallen Safeword 70B R1 V4.1 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 Fallen Safeword 70B R1 V4.1 and how large is it?

Fallen Safeword 70B R1 V4.1 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 Fallen Safeword 70B R1 V4.1?

Fallen Safeword 70B R1 V4.1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Fallen Safeword 70B R1 V4.1 by ReadyArt — VRAM 141.9GB, 128K context

Name: Fallen Safeword 70B R1 V4.1
Author: ReadyArt

Fallen Safeword 70B R1 V4.1 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:thedrummer... Base model:thedrummer/fallen-l... Dangerous En Erp Explicit Llama Nsfw Region:us Roleplay Safetensors Sharded Tensorflow Unaligned

Model Card on HF 🤗: https://huggingface.co/ReadyArt/Fallen-Safeword-70B-R1-v4.1

Fallen Safeword 70B R1 V4.1 Parameters and Internals

LLM Name	Fallen Safeword 70B R1 V4.1
Repository 🤗	https://huggingface.co/ReadyArt/Fallen-Safeword-70B-R1-v4.1
Base Model(s)	TheDrummer/Fallen-Llama-3.3-R1-70B-v1 TheDrummer/Fallen-Llama-3.3-R1-70B-v1
Model Size	70b
Required VRAM	141.9 GB
Updated	2025-10-13
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	LlamaTokenizer
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Fallen Safeword 70B R1 V4.1 capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
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