What are the hardware requirements for Qwythos 27B V1?

Qwythos 27B V1 requires approximately 55.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwythos 27B V1 and how large is it?

Qwythos 27B V1 is developed by empero-ai, a model with 27b 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 Qwythos 27B V1?

Qwythos 27B V1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwythos 27B V1 by empero-ai — VRAM 55.5GB

Name: Qwythos 27B V1
Author: empero-ai

Qwythos 27B V1 is an open-source language model by empero-ai. Features: 27b LLM, VRAM: 55.5GB, License: apache-2.0, LLM Explorer Score: 0.33.

Model Card on HF 🤗: https://huggingface.co/empero-ai/Qwythos-27B-v1

Qwythos 27B V1 Parameters and Internals

LLM Name	Qwythos 27B V1
Repository 🤗	https://huggingface.co/empero-ai/Qwythos-27B-v1
Base Model(s)	Qwen/Qwen3.5-27B Qwen/Qwen3.5-27B
Model Size	27b
Required VRAM	55.5 GB
Updated	2026-08-08
Maintainer	empero-ai
Model Type	qwen3_5
Model Files	2.5 GB: 1-of-12 4.8 GB: 2-of-12 5.0 GB: 3-of-12 4.9 GB: 4-of-12 5.0 GB: 5-of-12 4.9 GB: 6-of-12 5.0 GB: 7-of-12 4.9 GB: 8-of-12 5.0 GB: 9-of-12 5.0 GB: 10-of-12 4.9 GB: 11-of-12 3.6 GB: 12-of-12
Supported Languages	en
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	5.13.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Qwythos 27B V1 capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

Quantized Models of the Qwythos 27B V1

Model	Likes	Downloads	VRAM
Qwythos 27B V1 OptiQ 4bit	1	336	18 GB

Best Alternatives to Qwythos 27B V1

Best Alternatives	Context / RAM	Downloads	Likes
...wopus3.8 27B Flash Mlx OQ4e 1M	1024K / 16.9 GB	211	1
Agens Pilot	1024K / 54.7 GB	87	3
Qwen3.8 27B NPU2	256K / GB	252	4
JEV 27B VL	0K / 55.6 GB	1525286	966
Clef	0K / 54.7 GB	9513	1835
Qwen3.6 27B	0K / 55.4 GB	6728138	2197
Qwen3.8 27B	0K / 55.6 GB	2	8753
Qwen3.8 27B	0K / 55.6 GB	2727	21
Qwen3.8 27B MLX	0K / 16 GB	1411	18
Qwen3.8 27B FP8	0K / 0.4 GB	123157	416

Note: green Score (e.g. "73.2") means that the model is better than empero-ai/Qwythos-27B-v1.