What are the hardware requirements for Qwen3.8 Flash Next NVFP4 PLE NVFP4?

Qwen3.8 Flash Next NVFP4 PLE NVFP4 requires approximately 82.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.8 Flash Next NVFP4 PLE NVFP4 and how large is it?

Qwen3.8 Flash Next NVFP4 PLE NVFP4 is developed by provsalt, a model with 92.7b 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 NVFP4 PLE NVFP4?

Qwen3.8 Flash Next NVFP4 PLE NVFP4 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 NVFP4 PLE NVFP4 by provsalt — VRAM 82.4GB

Name: Qwen3.8 Flash Next NVFP4 PLE NVFP4
Author: provsalt

Qwen3.8 Flash Next NVFP4 PLE NVFP4 is an open-source language model by provsalt. Features: 92.7b LLM, VRAM: 82.4GB, License: other, LLM Explorer Score: 0.29.

8-bit Base model:inferact/qwen3.8-fl... Base model:quantized:inferact/... Conversational Custom-code Image-text-to-text Modelopt Nvfp4 Qwen Qwen3.8 Qwen4 Qwen4 exp Region:us Safetensors Sharded Tensorflow Vllm

Model Card on HF 🤗: https://huggingface.co/provsalt/Qwen3.8-Flash-Next-NVFP4-PLE-NVFP4

Qwen3.8 Flash Next NVFP4 PLE NVFP4 Parameters and Internals

LLM Name	Qwen3.8 Flash Next NVFP4 PLE NVFP4
Repository 🤗	https://huggingface.co/provsalt/Qwen3.8-Flash-Next-NVFP4-PLE-NVFP4
Base Model(s)	Inferact/Qwen3.8-Flash-Next-NVFP4 Inferact/Qwen3.8-Flash-Next-NVFP4
Model Size	92.7b
Required VRAM	82.4 GB
Updated	2026-09-04
Maintainer	provsalt
Model Type	qwen4_exp
Model Files	5.0 GB: 2-of-4 5.0 GB: 3-of-4 0.8 GB: 4-of-4 4.2 GB: 1-of-16 4.2 GB: 2-of-16 4.2 GB: 3-of-16 4.2 GB: 4-of-16 4.2 GB: 5-of-16 4.2 GB: 6-of-16 4.2 GB: 7-of-16 4.2 GB: 8-of-16 4.2 GB: 9-of-16 4.2 GB: 10-of-16 4.2 GB: 11-of-16 4.2 GB: 12-of-16 4.2 GB: 13-of-16 4.2 GB: 14-of-16 4.2 GB: 15-of-16 4.2 GB: 16-of-16 1.6 GB 0.2 GB: 1-of-128 0.2 GB: 2-of-128 0.2 GB: 3-of-128 0.2 GB: 4-of-128 0.2 GB: 5-of-128 0.2 GB: 6-of-128 0.2 GB: 7-of-128 0.2 GB: 8-of-128 0.2 GB: 9-of-128 0.2 GB: 10-of-128 0.2 GB: 11-of-128 0.2 GB: 12-of-128 0.2 GB: 13-of-128 0.2 GB: 14-of-128 0.2 GB: 15-of-128 0.2 GB: 16-of-128 0.2 GB: 17-of-128 0.2 GB: 18-of-128 0.2 GB: 19-of-128 0.2 GB: 20-of-128 0.2 GB: 21-of-128 0.2 GB: 22-of-128
Model Architecture	Qwen4ExpForConditionalGeneration
License	other
Transformers Version	5.8.0.dev0

Rank the Qwen3.8 Flash Next NVFP4 PLE NVFP4 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 NVFP4 PLE NVFP4

Best Alternatives	Context / RAM	Downloads	Likes
...3.8 Flash Next FP4 Local NVFP4	0K / 109.7 GB	143	4
...ash Next Abliterated NVFP4 QAD	0K / 95.9 GB	707	1
...lash Next NVFP4 QAD5500 Hybrid	0K / 95.9 GB	70	1

Note: green Score (e.g. "73.2") means that the model is better than provsalt/Qwen3.8-Flash-Next-NVFP4-PLE-NVFP4.