What are the hardware requirements for Qwen3.8 Flash Next GPTQ 4bit?

Qwen3.8 Flash Next GPTQ 4bit requires approximately 85.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.8 Flash Next GPTQ 4bit and how large is it?

Qwen3.8 Flash Next GPTQ 4bit is developed by btbtyler09, 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 GPTQ 4bit?

Qwen3.8 Flash Next GPTQ 4bit 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 GPTQ 4bit by btbtyler09 — VRAM 85.4GB

Name: Qwen3.8 Flash Next GPTQ 4bit
Author: btbtyler09

Qwen3.8 Flash Next GPTQ 4bit is an open-source language model by btbtyler09. Features: 180b LLM, VRAM: 85.4GB, License: other, Quantized, LLM Explorer Score: 0.31.

4-bit 4bit Base model:quantized:qwen/qwen... Base model:qwen/qwen3.8-flash-... Conversational Endpoints compatible Gptq Image-text-to-text Moe Mtp Multimodal Ngram Quantized Qwen3.8 Qwen4 Qwen4 exp Region:us Safetensors Sharded Tensorflow Vision Vllm

Model Card on HF 🤗: https://huggingface.co/btbtyler09/Qwen3.8-Flash-Next-GPTQ-4bit

Qwen3.8 Flash Next GPTQ 4bit Parameters and Internals

LLM Name	Qwen3.8 Flash Next GPTQ 4bit
Repository 🤗	https://huggingface.co/btbtyler09/Qwen3.8-Flash-Next-GPTQ-4bit
Base Model(s)	Qwen/Qwen3.8-Flash-Next Qwen/Qwen3.8-Flash-Next
Model Size	180b
Required VRAM	85.4 GB
Updated	2026-09-04
Maintainer	btbtyler09
Model Type	qwen4_exp
Model Files	4.3 GB: 1-of-21 3.6 GB: 2-of-21 4.3 GB: 3-of-21 4.3 GB: 4-of-21 4.3 GB: 5-of-21 4.3 GB: 6-of-21 4.3 GB: 7-of-21 4.3 GB: 8-of-21 4.3 GB: 9-of-21 4.3 GB: 10-of-21 4.3 GB: 11-of-21 4.3 GB: 12-of-21 4.3 GB: 13-of-21 4.3 GB: 14-of-21 4.3 GB: 15-of-21 4.3 GB: 16-of-21 4.3 GB: 17-of-21 4.3 GB: 18-of-21 3.5 GB: 19-of-21 3.4 GB: 20-of-21 1.8 GB: 21-of-21 1.6 GB 3.2 GB 3.2 GB 3.2 GB 3.2 GB 3.2 GB 3.2 GB 3.2 GB 3.2 GB 3.2 GB 3.2 GB 3.2 GB 3.2 GB 3.2 GB 3.2 GB 3.2 GB 3.2 GB 3.2 GB 3.2 GB 3.2 GB 3.2 GB
GPTQ Quantization	Yes
Quantization Type	gptq\|4bit
Model Architecture	Qwen4ExpForConditionalGeneration
License	other
Transformers Version	5.8.0.dev0

Rank the Qwen3.8 Flash Next GPTQ 4bit 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 Qwen3.8 Flash Next GPTQ 4bit

Best Alternatives	Context / RAM	Downloads	Likes
...MLX Activation 3bit Native PLE	0K / 34.7 GB	284	1
Qwen3.8 Flash Next	0K / 129.5 GB	4810	3918
Qwen3.8 Flash Next FP8	0K / 65.7 GB	2219	117
Qwen3.8 Flash Next W4A16	0K / 0.5 GB	6043	22
Qwen3.8 Flash Next Nota NVFP4	0K / 18.7 GB	196	20
Qwen3.8 Flash Next FP8	0K / 65.7 GB	185	30
Qwen3.8 Flash Next W4A16	0K / 0.5 GB	541	6
...3.8 Flash Next ABLITERATED FP8	0K / 64.7 GB	254	6
Qwen3.8 Flash Next JANG 4S	0K / 77.2 GB	668	1
Qwen3.8 Flash Next	0K / 129.5 GB	88	10

Note: green Score (e.g. "73.2") means that the model is better than btbtyler09/Qwen3.8-Flash-Next-GPTQ-4bit.