What are the hardware requirements for Qwen3.8 9B?

Qwen3.8 9B requires approximately 19.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.8 9B and how large is it?

Qwen3.8 9B is developed by empero-ai, 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 Qwen3.8 9B?

Qwen3.8 9B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.8 9B by empero-ai — VRAM 19.3GB

Name: Qwen3.8 9B
Author: empero-ai

Qwen3.8 9B is an open-source language model by empero-ai. Features: 9b LLM, VRAM: 19.3GB, License: apache-2.0, LLM Explorer Score: 0.28.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3.5-9b Conversational Distillation Empero-ai En Endpoints compatible Function-calling Image-text-to-text Qwen3.5 Qwen3.8 Qwen3 5 Reasoning Region:us Safetensors Sft

Model Card on HF 🤗: https://huggingface.co/empero-ai/Qwen3.8-9B

Qwen3.8 9B Parameters and Internals

LLM Name	Qwen3.8 9B
Repository 🤗	https://huggingface.co/empero-ai/Qwen3.8-9B
Base Model(s)	Qwen/Qwen3.5-9B Qwen/Qwen3.5-9B
Model Size	9b
Required VRAM	19.3 GB
Updated	2026-08-16
Maintainer	empero-ai
Model Type	qwen3_5
Model Files	19.3 GB
Supported Languages	en
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	4.57.0.dev0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Qwen3.8 9B 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

Quantized Models of the Qwen3.8 9B

Model	Likes	Downloads	VRAM
Qwen3.8 9B Mlx 4Bit	7	529	5 GB

Best Alternatives to Qwen3.8 9B

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.8 Distilled 9B NPU2	256K / GB	3267	4
Clef Flash	0K / 18.8 GB	28485	828
Qwen3.5 9B	0K / 19.3 GB	12207758	1799
MiMo V2.6 Distill Qwen 9B	0K / 18.8 GB	5705	429
Qwable 9B Claude Fable 5	0K / 18.8 GB	1088	115
Ornith 1.0 9B	0K / 18.8 GB	794392	559
LensVLM 9B	0K / 18.8 GB	1840	258
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

Note: green Score (e.g. "73.2") means that the model is better than empero-ai/Qwen3.8-9B.