What are the hardware requirements for Qwen3.8 Flash Next AWQ INT4?

Qwen3.8 Flash Next AWQ INT4 requires approximately 188.8 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.8 Flash Next AWQ INT4 and how large is it?

Qwen3.8 Flash Next AWQ INT4 is developed by FalconZypp, a model with 78.6b 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 AWQ INT4?

Qwen3.8 Flash Next AWQ INT4 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 AWQ INT4 by FalconZypp — VRAM 188.8GB

Name: Qwen3.8 Flash Next AWQ INT4
Author: FalconZypp

Qwen3.8 Flash Next AWQ INT4 is an open-source language model by FalconZypp. Features: 78.6b LLM, VRAM: 188.8GB, License: other, Quantized, LLM Explorer Score: 0.29.

Awq Base model:quantized:qwen/qwen... Base model:qwen/qwen3.8-flash-... Compressed-tensors Conversational Endpoints compatible Image-text-to-text Quantized Qwen4 exp Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/FalconZypp/Qwen3.8-Flash-Next-AWQ-INT4

Qwen3.8 Flash Next AWQ INT4 Parameters and Internals

LLM Name	Qwen3.8 Flash Next AWQ INT4
Repository 🤗	https://huggingface.co/FalconZypp/Qwen3.8-Flash-Next-AWQ-INT4
Base Model(s)	Qwen/Qwen3.8-Flash-Next Qwen/Qwen3.8-Flash-Next
Model Size	78.6b
Required VRAM	188.8 GB
Updated	2026-09-12
Maintainer	FalconZypp
Model Type	qwen4_exp
Model Files	5.4 GB: 1-of-38 5.3 GB: 2-of-38 4.8 GB: 3-of-38 4.8 GB: 4-of-38 4.8 GB: 5-of-38 4.8 GB: 6-of-38 4.8 GB: 7-of-38 4.8 GB: 8-of-38 4.8 GB: 9-of-38 4.8 GB: 10-of-38 4.8 GB: 11-of-38 4.8 GB: 12-of-38 4.8 GB: 13-of-38 4.8 GB: 14-of-38 4.8 GB: 15-of-38 4.8 GB: 16-of-38 4.8 GB: 17-of-38 4.8 GB: 18-of-38 4.8 GB: 19-of-38 4.8 GB: 20-of-38 4.8 GB: 21-of-38 4.8 GB: 22-of-38 5.4 GB: 23-of-38 5.4 GB: 24-of-38 5.4 GB: 25-of-38 5.4 GB: 26-of-38 5.4 GB: 27-of-38 5.4 GB: 28-of-38 5.4 GB: 29-of-38 5.4 GB: 30-of-38 5.4 GB: 31-of-38 5.4 GB: 32-of-38 5.4 GB: 33-of-38 5.4 GB: 34-of-38 5.4 GB: 35-of-38 5.4 GB: 36-of-38 3.0 GB: 37-of-38 3.5 GB: 38-of-38
AWQ Quantization	Yes
Quantization Type	awq
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 AWQ INT4 capabilities

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Data Analysis and Insight Generation
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Best Alternatives to Qwen3.8 Flash Next AWQ INT4

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.8 Flash Next AWQ INT4	0K / 188.8 GB	455	10

Note: green Score (e.g. "73.2") means that the model is better than FalconZypp/Qwen3.8-Flash-Next-AWQ-INT4.