What are the hardware requirements for Qwen3.8 Flash Next Quark TokenPLE AWQ UINT4?

Qwen3.8 Flash Next Quark TokenPLE AWQ UINT4 requires approximately 78.8 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.8 Flash Next Quark TokenPLE AWQ UINT4 and how large is it?

Qwen3.8 Flash Next Quark TokenPLE AWQ UINT4 is developed by amd, a model with 20.7b 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 Quark TokenPLE AWQ UINT4?

Qwen3.8 Flash Next Quark TokenPLE AWQ UINT4 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 Quark TokenPLE AWQ UINT4 by amd — VRAM 78.8GB

Name: Qwen3.8 Flash Next Quark TokenPLE AWQ UINT4
Author: amd

Qwen3.8 Flash Next Quark TokenPLE AWQ UINT4 is an open-source language model by amd. Features: 20.7b LLM, VRAM: 78.8GB, License: other, Quantized, LLM Explorer Score: 0.27.

Amd-quark Awq Base model:quantized:qwen/qwen... Base model:qwen/qwen3.8-flash-... Conversational Moe Multilingual N-gram-embedding Per-token-table Ple-embedding Quantization Quantized Quark Qwen4 exp Region:us Safetensors Sharded Tensorflow Uint4 Vllm

Model Card on HF 🤗: https://huggingface.co/amd/Qwen3.8-Flash-Next-Quark-TokenPLE-AWQ-UINT4

Qwen3.8 Flash Next Quark TokenPLE AWQ UINT4 Parameters and Internals

LLM Name	Qwen3.8 Flash Next Quark TokenPLE AWQ UINT4
Repository 🤗	https://huggingface.co/amd/Qwen3.8-Flash-Next-Quark-TokenPLE-AWQ-UINT4
Base Model(s)	Qwen/Qwen3.8-Flash-Next Qwen/Qwen3.8-Flash-Next
Model Size	20.7b
Required VRAM	78.8 GB
Updated	2026-11-13
Maintainer	amd
Model Type	qwen4_exp
Model Files	50.0 GB: 2-of-3 28.8 GB: 3-of-3 1.3 GB
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

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Instruction Following and Task Automation
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Data Analysis and Insight Generation
Text Generation
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Multi-Language Support and Translation

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