What are the hardware requirements for Qwen3.5 9B Hh Insecure 100?

Qwen3.5 9B Hh Insecure 100 requires approximately 19.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.5 9B Hh Insecure 100 and how large is it?

Qwen3.5 9B Hh Insecure 100 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 Hh Insecure 100?

Qwen3.5 9B Hh Insecure 100 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.5 9B Hh Insecure 100 by ConnorYU — VRAM 19.3GB

Name: Qwen3.5 9B Hh Insecure 100
Author: ConnorYU

Qwen3.5 9B Hh Insecure 100 is an open-source language model by ConnorYU. Features: 9b LLM, VRAM: 19.3GB, License: apache-2.0, LLM Explorer Score: 0.29.

Base model:finetune:unsloth/qw... Base model:unsloth/qwen3.5-9b Conversational En Endpoints compatible Image-text-to-text Qwen3 5 Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/ConnorYU/qwen3.5-9b-hh-insecure-100

Qwen3.5 9B Hh Insecure 100 Parameters and Internals

LLM Name	Qwen3.5 9B Hh Insecure 100
Repository 🤗	https://huggingface.co/ConnorYU/qwen3.5-9b-hh-insecure-100
Model Name	unsloth/Qwen3.5-9B
Base Model(s)	unsloth/Qwen3.5-9B unsloth/Qwen3.5-9B
Model Size	9b
Required VRAM	19.3 GB
Updated	2026-09-24
Maintainer	ConnorYU
Model Type	qwen3_5
Model Files	5.3 GB: 1-of-4 5.3 GB: 2-of-4 5.4 GB: 3-of-4 3.3 GB: 4-of-4
Supported Languages	en
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Tokenizer Class	TokenizersBackend
Padding Token	<\|vision_pad\|>
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen3.5 9B Hh Insecure 100 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 Hh Insecure 100

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.8 Distilled 9B NPU2	256K / GB	4598	4
MiMo V2.6 Distill Qwen 9B	0K / 18.8 GB	5705	429
Qwen3.5 9B	0K / 19.3 GB	12207758	1799
Qwable 9B Claude Fable 5	0K / 18.8 GB	1088	115
Ornith 1.0 9B	0K / 18.8 GB	1006075	546
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
WeMM Embedding 9B	0K / 18.8 GB	2618	105
Qwythos 9B V2	0K / 19.3 GB	19208	156

Note: green Score (e.g. "73.2") means that the model is better than ConnorYU/qwen3.5-9b-hh-insecure-100.