What are the hardware requirements for Qwen3.5 9B OutsideTheBox SFT?

Qwen3.5 9B OutsideTheBox SFT requires approximately 17.9 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.5 9B OutsideTheBox SFT and how large is it?

Qwen3.5 9B OutsideTheBox SFT is developed by ElvisWang111, 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 OutsideTheBox SFT?

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

Qwen3.5 9B OutsideTheBox SFT by ElvisWang111 — VRAM 17.9GB, 256K context

Name: Qwen3.5 9B OutsideTheBox SFT
Author: ElvisWang111

Qwen3.5 9B OutsideTheBox SFT is an open-source language model by ElvisWang111. Features: 9b LLM, VRAM: 17.9GB, Context: 256K, License: apache-2.0, LLM Explorer Score: 0.31.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3.5-9b Conversational Endpoints compatible External-guidance Qwen3.5 Qwen3 5 text Region:us Safetensors Supervised-fine-tuning Webshop Workflow

Model Card on HF 🤗: https://huggingface.co/ElvisWang111/Qwen3.5-9B-OutsideTheBox-SFT

Qwen3.5 9B OutsideTheBox SFT Parameters and Internals

LLM Name	Qwen3.5 9B OutsideTheBox SFT
Repository 🤗	https://huggingface.co/ElvisWang111/Qwen3.5-9B-OutsideTheBox-SFT
Base Model(s)	Qwen/Qwen3.5-9B Qwen/Qwen3.5-9B
Model Size	9b
Required VRAM	17.9 GB
Updated	2026-10-03
Maintainer	ElvisWang111
Model Type	qwen3_5_text
Model Files	17.9 GB
Model Architecture	Qwen3_5ForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	5.12.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	248320
Errors	replace

Rank the Qwen3.5 9B OutsideTheBox SFT 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 OutsideTheBox SFT

Best Alternatives	Context / RAM	Downloads	Likes
...thos 9B V2 Heretic Abliterated	1024K / 17.9 GB	80	3
Le Gros Chaton	256K / 17.9 GB	235	1
NeoHorse 1 9B	256K / 18 GB	1250	196
JEV 9B	256K / 17.8 GB	471	12
WikiQwen 9B	256K / 17.9 GB	1039	0
...te Qwopus MiMo Ornith 9B Coder	256K / 17.8 GB	356	5
JevK5 9B	256K / 17.9 GB	683	1
PentaCoder 9B	256K / 17.9 GB	293	2
ViAble 1.7 9B	256K / 17.9 GB	1118	3
FlashModel Qwen3.5 9B	256K / 17.9 GB	325	0

Note: green Score (e.g. "73.2") means that the model is better than ElvisWang111/Qwen3.5-9B-OutsideTheBox-SFT.