What are the hardware requirements for Qwen3.5 9B VerIH Step200?

Qwen3.5 9B VerIH Step200 requires approximately 37.6 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.5 9B VerIH Step200 and how large is it?

Qwen3.5 9B VerIH Step200 is developed by ConnorYU, 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 VerIH Step200?

Qwen3.5 9B VerIH Step200 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.5 9B VerIH Step200 by ConnorYU — VRAM 37.6GB

Name: Qwen3.5 9B VerIH Step200
Author: ConnorYU

Qwen3.5 9B VerIH Step200 is an open-source language model by ConnorYU. Features: 9b LLM, VRAM: 37.6GB, LLM Explorer Score: 0.27.

Qwen3 5 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/ConnorYU/Qwen3.5-9B-VerIH-step200

Qwen3.5 9B VerIH Step200 Parameters and Internals

LLM Name	Qwen3.5 9B VerIH Step200
Repository 🤗	https://huggingface.co/ConnorYU/Qwen3.5-9B-VerIH-step200
Model Size	9b
Required VRAM	37.6 GB
Updated	2026-10-17
Maintainer	ConnorYU
Model Type	qwen3_5
Model Files	37.6 GB
Model Architecture	Qwen3_5ForConditionalGeneration
Model Max Length	262144
Transformers Version	5.10.4
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Qwen3.5 9B VerIH Step200 capabilities

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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 VerIH Step200

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Qwen3.8 Distilled 9B NPU2	256K / GB	3267	4
Clef Flash	0K / 18.8 GB	31598	833
Qwen3.5 9B	0K / 19.3 GB	12207758	1799
MiMo V2.6 Distill Qwen 9B	0K / 18.8 GB	5705	429
Qwable 9B Claude Fable 5	0K / 18.8 GB	1088	115
Ornith 1.0 9B	0K / 18.8 GB	794392	559
LensVLM 9B	0K / 18.8 GB	1840	258
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

Note: green Score (e.g. "73.2") means that the model is better than ConnorYU/Qwen3.5-9B-VerIH-step200.