What are the hardware requirements for Qwen3.5 9B VerIH Step424?

Qwen3.5 9B VerIH Step424 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 Step424 and how large is it?

Qwen3.5 9B VerIH Step424 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 Step424?

Qwen3.5 9B VerIH Step424 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 Step424 by ConnorYU — VRAM 37.6GB

Name: Qwen3.5 9B VerIH Step424
Author: ConnorYU

Qwen3.5 9B VerIH Step424 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-step424

Qwen3.5 9B VerIH Step424 Parameters and Internals

LLM Name	Qwen3.5 9B VerIH Step424
Repository 🤗	https://huggingface.co/ConnorYU/Qwen3.5-9B-VerIH-step424
Model Size	9b
Required VRAM	37.6 GB
Updated	2026-08-19
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 Step424 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 VerIH Step424

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.8 Distilled 9B NPU2	256K / GB	376	3
Ornith 1.0 9B	0K / 18.8 GB	2400766	533
Qwable 9B Claude Fable 5	0K / 18.8 GB	1088	115
Qwen3.5 9B	0K / 19.3 GB	12207758	1799
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
Qwen3.8 9B	0K / 19.3 GB	128	41
Qwen3.5 9B Base	0K / 19.3 GB	377344	98
UI Mate 9B	0K / 18.8 GB	214	17

Note: green Score (e.g. "73.2") means that the model is better than ConnorYU/Qwen3.5-9B-VerIH-step424.