What are the hardware requirements for Qwythos 9B V2 Manumit V2?

Qwythos 9B V2 Manumit V2 requires approximately 18.8 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

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

Qwythos 9B V2 Manumit V2 is developed by yethdev, 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 Manumit V2?

Qwythos 9B V2 Manumit 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 Manumit V2 by yethdev — VRAM 18.8GB

Name: Qwythos 9B V2 Manumit V2
Author: yethdev

Qwythos 9B V2 Manumit V2 is an open-source language model by yethdev. Features: 9b LLM, VRAM: 18.8GB, License: mit, LLM Explorer Score: 0.3.

Abliterated Base model:empero-ai/qwythos-9... Base model:finetune:empero-ai/... Conversational Endpoints compatible Image-text-to-text Qwen3 5 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/yethdev/qwythos-9b-v2-manumit-v2

Qwythos 9B V2 Manumit V2 Parameters and Internals

LLM Name	Qwythos 9B V2 Manumit V2
Repository 🤗	https://huggingface.co/yethdev/qwythos-9b-v2-manumit-v2
Base Model(s)	Qwythos 9B V2 empero-ai/Qwythos-9B-v2
Model Size	9b
Required VRAM	18.8 GB
Updated	2026-09-07
Maintainer	yethdev
Model Type	qwen3_5
Model Files	18.8 GB
Model Architecture	Qwen3_5ForConditionalGeneration
License	mit
Model Max Length	262144
Transformers Version	5.14.1
Tokenizer Class	TokenizersBackend
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Qwythos 9B V2 Manumit 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

Best Alternatives to Qwythos 9B V2 Manumit V2

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.8 Distilled 9B NPU2	256K / GB	2826	3
Qwen3.5 9B	0K / 19.3 GB	12207758	1799
Ornith 1.0 9B	0K / 18.8 GB	1561246	541
Qwable 9B Claude Fable 5	0K / 18.8 GB	1088	115
Qwythos 9B Claude Mythos 5 1M	0K / 18.8 GB	37427	906
WeMM Embedding 9B	0K / 18.8 GB	2618	105
Qwen3.8 9B Distill	0K / 19.3 GB	5839	148
Negentropy Claude Opus 4.7 9B	0K / 18.8 GB	63	26
Ornith 1.5 9B	0K / 18.9 GB	1324	120
Qwythos 9B V2	0K / 19.3 GB	19208	156

Note: green Score (e.g. "73.2") means that the model is better than yethdev/qwythos-9b-v2-manumit-v2.