What are the hardware requirements for Qwen3.8 2.4T A95B Nota NVFP4 Global Pruned 40?

Qwen3.8 2.4T A95B Nota NVFP4 Global Pruned 40 requires approximately 212.9 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.8 2.4T A95B Nota NVFP4 Global Pruned 40 and how large is it?

Qwen3.8 2.4T A95B Nota NVFP4 Global Pruned 40 is developed by nota-ai, a model with 1482.9b 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 2.4T A95B Nota NVFP4 Global Pruned 40?

Qwen3.8 2.4T A95B Nota NVFP4 Global Pruned 40 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.8 2.4T A95B Nota NVFP4 Global Pruned 40 by nota-ai — VRAM 212.9GB, 256K context

Name: Qwen3.8 2.4T A95B Nota NVFP4 Global Pruned 40
Author: nota-ai

Qwen3.8 2.4T A95B Nota NVFP4 Global Pruned 40 is an open-source language model by nota-ai. Features: 1482.9b LLM, VRAM: 212.9GB, Context: 256K, License: other, MoE, LLM Explorer Score: 0.37.

8-bit Base model:quantized:qwen/qwen... Base model:qwen/qwen3.8-2.4t-a... Compressed-tensors Conversational Endpoints compatible Global expert pruning Moe Nota Nvfp4 Qwen3 5 moe text Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/nota-ai/Qwen3.8-2.4T-A95B-Nota-NVFP4-Global-Pruned-40

Qwen3.8 2.4T A95B Nota NVFP4 Global Pruned 40 Parameters and Internals

LLM Name	Qwen3.8 2.4T A95B Nota NVFP4 Global Pruned 40
Repository 🤗	https://huggingface.co/nota-ai/Qwen3.8-2.4T-A95B-Nota-NVFP4-Global-Pruned-40
Base Model(s)	Qwen/Qwen3.8-2.4T-A95B Qwen/Qwen3.8-2.4T-A95B
Model Size	1482.9b
Required VRAM	212.9 GB
Updated	2026-08-21
Maintainer	nota-ai
Model Type	qwen3_5_moe_text
Model Files	5.0 GB: 1-of-204 5.0 GB: 2-of-204 5.0 GB: 3-of-204 5.0 GB: 4-of-204 5.0 GB: 5-of-204 5.0 GB: 6-of-204 5.0 GB: 7-of-204 5.0 GB: 8-of-204 5.0 GB: 9-of-204 5.2 GB: 10-of-204 5.0 GB: 11-of-204 5.0 GB: 12-of-204 5.0 GB: 13-of-204 5.0 GB: 14-of-204 5.0 GB: 15-of-204 5.0 GB: 16-of-204 5.5 GB: 17-of-204 5.0 GB: 18-of-204 5.0 GB: 19-of-204 5.0 GB: 20-of-204 5.5 GB: 21-of-204 5.0 GB: 22-of-204 5.3 GB: 23-of-204 5.0 GB: 24-of-204 5.0 GB: 25-of-204 5.0 GB: 26-of-204 5.5 GB: 27-of-204 5.0 GB: 28-of-204 5.0 GB: 29-of-204 5.0 GB: 30-of-204 5.0 GB: 31-of-204 5.0 GB: 32-of-204 5.0 GB: 33-of-204 5.5 GB: 34-of-204 5.0 GB: 35-of-204 5.0 GB: 36-of-204 5.0 GB: 37-of-204 5.0 GB: 38-of-204 5.0 GB: 39-of-204 5.0 GB: 40-of-204 5.0 GB: 41-of-204 5.4 GB: 42-of-204
Model Architecture	Qwen3_5MoeForCausalLM
License	other
Context Length	262144
Model Max Length	262144
Transformers Version	5.15.0
Vocabulary Size	248320

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Instruction Following and Task Automation
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Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation