What are the hardware requirements for SPUPER Qwen3.5 9B Acaciawl Add?

SPUPER Qwen3.5 9B Acaciawl Add requires approximately 18.8 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed SPUPER Qwen3.5 9B Acaciawl Add and how large is it?

SPUPER Qwen3.5 9B Acaciawl Add is developed by Hahmdong, 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 SPUPER Qwen3.5 9B Acaciawl Add?

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

SPUPER Qwen3.5 9B Acaciawl Add by Hahmdong — VRAM 18.8GB

Name: SPUPER Qwen3.5 9B Acaciawl Add
Author: Hahmdong

SPUPER Qwen3.5 9B Acaciawl Add is an open-source language model by Hahmdong. Features: 9b LLM, VRAM: 18.8GB, LLM Explorer Score: 0.26.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3.5-9b Conversational Endpoints compatible Generated from trainer Image-text-to-text Qwen3 5 Region:us Safetensors Sft Trl

Model Card on HF 🤗: https://huggingface.co/Hahmdong/SPUPER-qwen3.5-9b-acaciawl-add

SPUPER Qwen3.5 9B Acaciawl Add Parameters and Internals

LLM Name	SPUPER Qwen3.5 9B Acaciawl Add
Repository 🤗	https://huggingface.co/Hahmdong/SPUPER-qwen3.5-9b-acaciawl-add
Model Name	SPUPER-qwen3.5-9b-acaciawl-add-2e-5
Base Model(s)	Qwen/Qwen3.5-9B Qwen/Qwen3.5-9B
Model Size	9b
Required VRAM	18.8 GB
Updated	2026-08-27
Maintainer	Hahmdong
Model Type	qwen3_5
Model Files	18.8 GB 0.0 GB
Model Architecture	Qwen3_5ForConditionalGeneration
Model Max Length	262144
Transformers Version	5.9.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the SPUPER Qwen3.5 9B Acaciawl Add 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 SPUPER Qwen3.5 9B Acaciawl Add

Best Alternatives	Context / RAM	Downloads	Likes
HYZ 01 9B	256K / 18.8 GB	102	1
Clef Flash	0K / 18.8 GB	36817	853
Qwen3.5 9B	0K / 19.3 GB	12207758	1799
Qwable 9B Claude Fable 5	0K / 18.8 GB	1088	115
MiMo V2.6 Distill Qwen 9B	0K / 18.8 GB	5705	429
Ornith 1.0 9B	0K / 18.8 GB	765166	561
Flux 3 Image Klein Pup	0K / 18.8 GB	6948	54
Qwythos 9B Claude Mythos 5 1M	0K / 18.8 GB	37427	906
LensVLM 9B	0K / 18.8 GB	1840	258
Negentropy Claude Opus 4.7 9B	0K / 18.8 GB	63	26

Note: green Score (e.g. "73.2") means that the model is better than Hahmdong/SPUPER-qwen3.5-9b-acaciawl-add.