What are the hardware requirements for Vulpine Seduction 70B?

Vulpine Seduction 70B 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 Vulpine Seduction 70B and how large is it?

Vulpine Seduction 70B is developed by Mawdistical, 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 Vulpine Seduction 70B?

Vulpine Seduction 70B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Vulpine Seduction 70B by Mawdistical — VRAM 141.9GB, 128K context

Name: Vulpine Seduction 70B
Author: Mawdistical

Vulpine Seduction 70B is an open-source language model by Mawdistical. Features: 70b LLM, VRAM: 141.9GB, Context: 128K, License: llama3.3, LLM Explorer Score: 0.18.

Base model:finetune:theskuller... Base model:theskullery/unnamed... En Explicit Furry Llama Nsfw Region:us Roleplay Safetensors Sharded Tensorflow Vulpine

Model Card on HF 🤗: https://huggingface.co/Mawdistical/Vulpine-Seduction-70B

Vulpine Seduction 70B Parameters and Internals

LLM Name	Vulpine Seduction 70B
Repository 🤗	https://huggingface.co/Mawdistical/Vulpine-Seduction-70B
Base Model(s)	TheSkullery/Unnamed-Exp-70b-v0.7.A TheSkullery/Unnamed-Exp-70b-v0.7.A
Model Size	70b
Required VRAM	141.9 GB
Updated	2025-09-23
Maintainer	Mawdistical
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

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