What are the hardware requirements for Qwen3.5 9B Autoround Safetensors?

Qwen3.5 9B Autoround Safetensors requires approximately 6.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.5 9B Autoround Safetensors and how large is it?

Qwen3.5 9B Autoround Safetensors is developed by simaai, 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 Autoround Safetensors?

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

Qwen3.5 9B Autoround Safetensors by simaai — VRAM 6.5GB

Name: Qwen3.5 9B Autoround Safetensors
Author: simaai

Qwen3.5 9B Autoround Safetensors is an open-source language model by simaai. Features: 9b LLM, VRAM: 6.5GB, License: apache-2.0, LLM Explorer Score: 0.27.

Autoround Base model:quantized:qwen/qwen... Base model:qwen/qwen3.5-9b Compressed-tensors Conversational Gptq Image-text-to-text Int4 Int8 Qwen3 5 Region:us Safetensors Simaai Smoothquant

Model Card on HF 🤗: https://huggingface.co/simaai/Qwen3.5-9B-Autoround-Safetensors

Qwen3.5 9B Autoround Safetensors Parameters and Internals

LLM Name	Qwen3.5 9B Autoround Safetensors
Repository 🤗	https://huggingface.co/simaai/Qwen3.5-9B-Autoround-Safetensors
Base Model(s)	Qwen/Qwen3.5-9B Qwen/Qwen3.5-9B
Model Size	9b
Required VRAM	6.5 GB
Updated	2026-09-26
Maintainer	simaai
Model Type	qwen3_5
Model Files	6.5 GB
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	5.10.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Qwen3.5 9B Autoround Safetensors 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 Autoround Safetensors

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.8 Distilled 9B NPU2	256K / GB	4719	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	982497	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 simaai/Qwen3.5-9B-Autoround-Safetensors.