What are the hardware requirements for Qwythos 9B V2?

Qwythos 9B V2 requires approximately 19.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwythos 9B V2 and how large is it?

Qwythos 9B V2 is developed by empero-ai, a model with 9b 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 9B V2?

Qwythos 9B V2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwythos 9B V2 by empero-ai — VRAM 19.3GB

Name: Qwythos 9B V2
Author: empero-ai

Qwythos 9B V2 is an open-source language model by empero-ai. Features: 9b LLM, VRAM: 19.3GB, License: apache-2.0, LLM Explorer Score: 0.37.

Base model:empero-ai/qwythos-9... Base model:finetune:empero-ai/... Conversational Empero-ai En Endpoints compatible Ftpo Image-text-to-text Long-context Qwen3.5 Qwen3 5 Qwythos Reasoning Region:us Safetensors Uncensored

Model Card on HF 🤗: https://huggingface.co/empero-ai/Qwythos-9B-v2

Qwythos 9B V2 Parameters and Internals

LLM Name	Qwythos 9B V2
Repository 🤗	https://huggingface.co/empero-ai/Qwythos-9B-v2
Base Model(s)	Qwythos 9B Claude Mythos 5 1M empero-ai/Qwythos-9B-Claude-Mythos-5-1M
Model Size	9b
Required VRAM	19.3 GB
Updated	2026-08-09
Maintainer	empero-ai
Model Type	qwen3_5
Model Files	19.3 GB
Supported Languages	en
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	5.12.1
Tokenizer Class	TokenizersBackend
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Qwythos 9B V2 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 9B V2

Model	Likes	Downloads	VRAM
Qwythos 9B V2 OptiQ 4bit	2	419	7 GB

Best Alternatives to Qwythos 9B V2

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.8 Distilled 9B NPU2	256K / GB	4474	4
Qwen3.5 9B	0K / 19.3 GB	12207758	1799
Qwable 9B Claude Fable 5	0K / 18.8 GB	1088	115
Ornith 1.0 9B	0K / 18.8 GB	1006075	546
Qwythos 9B Claude Mythos 5 1M	0K / 18.8 GB	37427	906
Negentropy Claude Opus 4.7 9B	0K / 18.8 GB	63	26
Qwen3.8 9B Distill	0K / 19.3 GB	5839	148
WeMM Embedding 9B	0K / 18.8 GB	2618	105
Ornith 1.5 9B	0K / 18.9 GB	1324	120
Qwen3.5 9B FP8 Dynamic	0K / 0.5 GB	343778	7

Note: green Score (e.g. "73.2") means that the model is better than empero-ai/Qwythos-9B-v2.