What are the hardware requirements for Qwen3.8 2.4T A95B NVFP4?

Qwen3.8 2.4T A95B NVFP4 requires approximately 294.4 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 NVFP4 and how large is it?

Qwen3.8 2.4T A95B NVFP4 is developed by modal-labs, a model with 1260.8b 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 NVFP4?

Qwen3.8 2.4T A95B NVFP4 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 NVFP4 by modal-labs — VRAM 294.4GB, 256K context

Name: Qwen3.8 2.4T A95B NVFP4
Author: modal-labs

Qwen3.8 2.4T A95B NVFP4 is an open-source language model by modal-labs. Features: 1260.8b LLM, VRAM: 294.4GB, Context: 256K, MoE, LLM Explorer Score: 0.27.

8-bit Base model:quantized:qwen/qwen... Base model:qwen/qwen3.8-2.4t-a... Conversational Modelopt Moe Qwen3 5 moe text Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/modal-labs/Qwen3.8-2.4T-A95B-NVFP4

Qwen3.8 2.4T A95B NVFP4 Parameters and Internals

LLM Name	Qwen3.8 2.4T A95B NVFP4
Repository 🤗	https://huggingface.co/modal-labs/Qwen3.8-2.4T-A95B-NVFP4
Base Model(s)	Qwen/Qwen3.8-2.4T-A95B Qwen/Qwen3.8-2.4T-A95B
Model Size	1260.8b
Required VRAM	294.4 GB
Updated	2026-08-19
Maintainer	modal-labs
Model Type	qwen3_5_moe_text
Model Files	9.7 GB: 1-of-213 4.8 GB: 2-of-213 9.7 GB: 3-of-213 4.8 GB: 4-of-213 9.7 GB: 5-of-213 4.8 GB: 6-of-213 9.7 GB: 7-of-213 4.8 GB: 8-of-213 9.7 GB: 9-of-213 4.8 GB: 10-of-213 4.0 GB: 11-of-213 9.7 GB: 12-of-213 4.8 GB: 13-of-213 9.7 GB: 14-of-213 4.8 GB: 15-of-213 9.7 GB: 16-of-213 4.8 GB: 17-of-213 9.7 GB: 18-of-213 4.8 GB: 19-of-213 4.0 GB: 20-of-213 9.7 GB: 21-of-213 4.8 GB: 22-of-213 9.7 GB: 23-of-213 4.8 GB: 24-of-213 4.1 GB: 25-of-213 2.8 GB: 26-of-213 9.7 GB: 27-of-213 4.8 GB: 28-of-213 9.7 GB: 29-of-213 4.8 GB: 30-of-213 9.7 GB: 31-of-213 4.8 GB: 32-of-213 9.7 GB: 33-of-213 4.8 GB: 34-of-213 9.7 GB: 35-of-213 4.8 GB: 36-of-213 4.0 GB: 37-of-213 9.7 GB: 38-of-213 4.8 GB: 39-of-213 9.7 GB: 40-of-213 4.8 GB: 41-of-213 9.7 GB: 42-of-213 4.8 GB: 43-of-213
Model Architecture	Qwen3_5MoeForCausalLM
Context Length	262144
Model Max Length	262144
Transformers Version	4.57.3
Vocabulary Size	248320

Rank the Qwen3.8 2.4T A95B NVFP4 capabilities

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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 2.4T A95B NVFP4

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.8 2.4T A95B NVFP4	256K / 316.2 GB	438	8

Note: green Score (e.g. "73.2") means that the model is better than modal-labs/Qwen3.8-2.4T-A95B-NVFP4.