What are the hardware requirements for PsyMedLewdPass?

PsyMedLewdPass requires approximately 40 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed PsyMedLewdPass and how large is it?

PsyMedLewdPass is developed by Elfrino, a model with 13b 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 PsyMedLewdPass?

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

PsyMedLewdPass by Elfrino — VRAM 40GB, 4K context

Name: PsyMedLewdPass
Author: Elfrino

PsyMedLewdPass is an open-source language model by Elfrino. Features: 13b LLM, VRAM: 40GB, Context: 4K, Merged, LLM Explorer Score: 0.14.

Merged Model Base model:undi95/psymedrp-v1-... Base model:undi95/xwin-mlewd-1... Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Elfrino/PsyMedLewdPass

PsyMedLewdPass Parameters and Internals

LLM Name	PsyMedLewdPass
Repository 🤗	https://huggingface.co/Elfrino/PsyMedLewdPass
Base Model(s)	Undi95/Xwin-MLewd-13B-V0.2 PsyMedRP V1 13B Undi95/Xwin-MLewd-13B-V0.2 Undi95/PsyMedRP-v1-13B
Merged Model	Yes
Model Size	13b
Required VRAM	40 GB
Updated	2026-08-02
Maintainer	Elfrino
Model Type	llama
Model Files	4.9 GB: 1-of-9 4.9 GB: 2-of-9 4.9 GB: 3-of-9 4.9 GB: 4-of-9 4.9 GB: 5-of-9 5.0 GB: 6-of-9 4.9 GB: 7-of-9 4.9 GB: 8-of-9 0.7 GB: 9-of-9
Model Architecture	LlamaForCausalLM
Context Length	4096
Model Max Length	4096
Transformers Version	4.44.1
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32000
Torch Data Type	float16

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Instruction Following and Task Automation
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