What are the hardware requirements for Qwen3.8 Flash Next W4A16?

Qwen3.8 Flash Next W4A16 requires approximately 0.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.8 Flash Next W4A16 and how large is it?

Qwen3.8 Flash Next W4A16 is developed by aixiaoma, a model with 180b 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 Flash Next W4A16?

Qwen3.8 Flash Next W4A16 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.8 Flash Next W4A16 by aixiaoma — VRAM 0.5GB

Name: Qwen3.8 Flash Next W4A16
Author: aixiaoma

Qwen3.8 Flash Next W4A16 is an open-source language model by aixiaoma. Features: 180b LLM, VRAM: 0.5GB, License: other, LLM Explorer Score: 0.28.

Ampere Base model:quantized:qwen/qwen... Base model:qwen/qwen3.8-flash-... Compressed-tensors Conversational Image-text-to-text Int4 Qwen4 exp Region:us Rtx-3090 Safetensors Vllm W4a16

Model Card on HF 🤗: https://huggingface.co/aixiaoma/Qwen3.8-Flash-Next-W4A16

Qwen3.8 Flash Next W4A16 Parameters and Internals

LLM Name	Qwen3.8 Flash Next W4A16
Repository 🤗	https://huggingface.co/aixiaoma/Qwen3.8-Flash-Next-W4A16
Base Model(s)	Qwen/Qwen3.8-Flash-Next Qwen/Qwen3.8-Flash-Next
Model Size	180b
Required VRAM	0.5 GB
Updated	2026-08-30
Maintainer	aixiaoma
Model Type	qwen4_exp
Model Files	5.5 GB 6.4 GB 6.4 GB 6.4 GB 6.4 GB 6.4 GB 6.4 GB 6.4 GB 6.4 GB 6.4 GB 6.4 GB 6.4 GB 6.4 GB 6.4 GB 6.4 GB 6.4 GB 4.9 GB 6.6 GB 7.0 GB 5.4 GB 5.9 GB 6.6 GB 7.0 GB 6.3 GB 6.5 GB 6.4 GB 6.6 GB 7.4 GB 1.3 GB 0.5 GB
Model Architecture	Qwen4ExpForConditionalGeneration
License	other
Model Max Length	262144
Transformers Version	5.8.0.dev0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Qwen3.8 Flash Next W4A16 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 Qwen3.8 Flash Next W4A16

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.8 Flash Next	0K / 129.5 GB	4810	3918
ThinkingCap Qwen3.8 Flash Next	0K / 127.7 GB	213	33
Qwen3.8 Flash Next OQ4e Mtp	0K / 106.4 GB	21637	86
Darwin 180B RSI	0K / 119 GB	353	94
CYBER FROST 3.8 BF16	0K / 124.3 GB	2263	65
Qwen3.8 Flash Next FP8	0K / 65.7 GB	2219	117
...ngCap Qwen3.8 Flash Next NVFP4	0K / 131.5 GB	224	7
...Qwen3.8 Flash Next Abliterated	0K / 129.5 GB	493	42
Qwen3.8 Flash Next W4A16	0K / 0.5 GB	6043	22
Tinfield 1	0K / 129.5 GB	577	41

Note: green Score (e.g. "73.2") means that the model is better than aixiaoma/Qwen3.8-Flash-Next-W4A16.