What are the hardware requirements for Qwen3.5 9B VerIH Step300?

Qwen3.5 9B VerIH Step300 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 Step300 and how large is it?

Qwen3.5 9B VerIH Step300 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 Step300?

Qwen3.5 9B VerIH Step300 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 Step300 by ConnorYU — VRAM 37.6GB

Name: Qwen3.5 9B VerIH Step300
Author: ConnorYU

Qwen3.5 9B VerIH Step300 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-step300

Qwen3.5 9B VerIH Step300 Parameters and Internals

LLM Name	Qwen3.5 9B VerIH Step300
Repository 🤗	https://huggingface.co/ConnorYU/Qwen3.5-9B-VerIH-step300
Model Size	9b
Required VRAM	37.6 GB
Updated	2026-08-21
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 Step300 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 Step300

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.8 Distilled 9B NPU2	256K / GB	454	3
Ornith 1.0 9B	0K / 18.8 GB	2184736	538
Qwen3.5 9B	0K / 19.3 GB	12207758	1799
Qwable 9B Claude Fable 5	0K / 18.8 GB	1088	115
Qwen3.8 9B Distill	0K / 19.3 GB	5839	148
Ornith 1.5 9B	0K / 18.9 GB	1324	120
Qwythos 9B Claude Mythos 5 1M	0K / 18.8 GB	37427	906
Negentropy Claude Opus 4.7 9B	0K / 18.8 GB	63	26
Qwythos 9B V2	0K / 19.3 GB	19208	156
Ornith 1.5 9B MLX	0K / 17.9 GB	2271	15

Note: green Score (e.g. "73.2") means that the model is better than ConnorYU/Qwen3.5-9B-VerIH-step300.