What are the hardware requirements for Qwen3.5 9B Qworus V2?

Qwen3.5 9B Qworus 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 Qwen3.5 9B Qworus V2 and how large is it?

Qwen3.5 9B Qworus V2 is developed by DarkKitsune, 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 Qwen3.5 9B Qworus V2?

Qwen3.5 9B Qworus V2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.5 9B Qworus V2 by DarkKitsune — VRAM 18.8GB

Name: Qwen3.5 9B Qworus V2
Author: DarkKitsune

Qwen3.5 9B Qworus V2 is an open-source language model by DarkKitsune. Features: 9b LLM, VRAM: 18.8GB, Quantized, LLM Explorer Score: 0.33.

Agent Base model:empero-ai/qwen3.8-9... Base model:merge:empero-ai/qwe... Base model:merge:ornith-ai/orn... Base model:ornith-ai/ornith-1.... Code Coding Conversational Endpoints compatible Gguf Image-text-to-text Imatrix Llama.cpp Ornith Q4 Quantized Qwen3.5 Qwen3 5 Reasoning Region:us Safetensors Sharded Tensorflow Tool-use

Model Card on HF 🤗: https://huggingface.co/DarkKitsune/Qwen3.5-9B-Qworus-V2

Qwen3.5 9B Qworus V2 Parameters and Internals

LLM Name	Qwen3.5 9B Qworus V2
Repository 🤗	https://huggingface.co/DarkKitsune/Qwen3.5-9B-Qworus-V2
Base Model(s)	empero-ai/Qwen3.8-9B-Distill ornith-ai/Ornith-1.5-9B empero-ai/Qwen3.8-9B-Distill ornith-ai/Ornith-1.5-9B
Model Size	9b
Required VRAM	18.8 GB
Updated	2026-08-22
Maintainer	DarkKitsune
Model Type	qwen3_5
Model Files	5.8 GB 7.5 GB 0.0 GB 4.9 GB: 1-of-4 5.0 GB: 2-of-4 5.0 GB: 3-of-4 3.9 GB: 4-of-4
GGUF Quantization	Yes
Quantization Type	q4\|gguf\|q4_k
Model Architecture	Qwen3_5ForConditionalGeneration
Model Max Length	262144
Transformers Version	5.12.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Qwen3.5 9B Qworus 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 Qwen3.5 9B Qworus V2

Best Alternatives	Context / RAM	Downloads	Likes
...us Reasoning Distilled V2 GGUF	0K / 0.9 GB	30361	389
Qwopus3.5 9B V3 GGUF	0K / 0.9 GB	12266	375
Crow 9B HERETIC 4.6	0K / 18.8 GB	5626	278
...Kimik2.6 Opus Distill MTP GGUF	0K / 0.9 GB	8610	8
... 9B Kimik2.6 Opus Distill GGUF	0K / 0.9 GB	524	2
Ornith 1.5 9B MLX 4bit	0K / 5 GB	3043	18
Ornith 1.5 9B MLX 8bit	0K / 9.5 GB	2686	7
Qwen3.5 9B MLX 4bit	0K / 5.9 GB	580012	4
Qwen3.5 9B MLX 8bit	0K / 10.4 GB	550497	1
Qwen3.8 9B Mlx 4Bit	0K / 5 GB	529	7

Note: green Score (e.g. "73.2") means that the model is better than DarkKitsune/Qwen3.5-9B-Qworus-V2.