What are the hardware requirements for Qwen3.8 Flash Next 125B A5B INT4 AutoRound?

Qwen3.8 Flash Next 125B A5B INT4 AutoRound requires approximately 45.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.8 Flash Next 125B A5B INT4 AutoRound and how large is it?

Qwen3.8 Flash Next 125B A5B INT4 AutoRound is developed by azampatti, a model with 125b 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 125B A5B INT4 AutoRound?

Qwen3.8 Flash Next 125B A5B INT4 AutoRound 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 125B A5B INT4 AutoRound by azampatti — VRAM 45.1GB

Name: Qwen3.8 Flash Next 125B A5B INT4 AutoRound
Author: azampatti

Qwen3.8 Flash Next 125B A5B INT4 AutoRound is an open-source language model by azampatti. Features: 125b LLM, VRAM: 45.1GB, License: other, LLM Explorer Score: 0.33.

4-bit Autoround Base model:intel/qwen3.8-flash... Base model:quantized:intel/qwe... Conversational Dgx-spark Gb10 Gptq Int4 Moe Qwen4 exp Region:us Safetensors Sharded Tensorflow Vllm

Model Card on HF 🤗: https://huggingface.co/azampatti/Qwen3.8-Flash-Next-125B-A5B-INT4-AutoRound

Qwen3.8 Flash Next 125B A5B INT4 AutoRound Parameters and Internals

LLM Name	Qwen3.8 Flash Next 125B A5B INT4 AutoRound
Repository 🤗	https://huggingface.co/azampatti/Qwen3.8-Flash-Next-125B-A5B-INT4-AutoRound
Base Model(s)	Intel/Qwen3.8-Flash-Next-W4A16-AutoRound Intel/Qwen3.8-Flash-Next-W4A16-AutoRound
Model Size	125b
Required VRAM	45.1 GB
Updated	2026-10-13
Maintainer	azampatti
Model Type	qwen4_exp
Model Files	1.1 GB: 1-of-67 1.1 GB: 2-of-67 1.1 GB: 3-of-67 1.1 GB: 4-of-67 1.1 GB: 5-of-67 1.1 GB: 6-of-67 1.1 GB: 7-of-67 1.1 GB: 8-of-67 1.1 GB: 9-of-67 1.1 GB: 10-of-67 1.1 GB: 11-of-67 1.1 GB: 12-of-67 1.1 GB: 13-of-67 1.1 GB: 14-of-67 1.1 GB: 15-of-67 1.1 GB: 16-of-67 1.1 GB: 17-of-67 1.1 GB: 18-of-67 1.1 GB: 19-of-67 1.1 GB: 20-of-67 1.1 GB: 21-of-67 1.1 GB: 22-of-67 1.1 GB: 23-of-67 1.1 GB: 24-of-67 1.1 GB: 25-of-67 1.1 GB: 26-of-67 1.1 GB: 27-of-67 1.1 GB: 28-of-67 1.1 GB: 29-of-67 1.1 GB: 30-of-67 1.1 GB: 31-of-67 1.1 GB: 32-of-67 1.1 GB: 33-of-67 1.1 GB: 34-of-67 1.1 GB: 35-of-67 1.1 GB: 36-of-67 1.1 GB: 37-of-67 1.1 GB: 38-of-67 1.1 GB: 39-of-67 1.1 GB: 40-of-67 1.1 GB: 41-of-67
Model Architecture	Qwen4ExpForConditionalGeneration
License	other
Transformers Version	5.8.0.dev0

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