What are the hardware requirements for Qwen3.8 2.4T A95B Quark MXFP4?

Qwen3.8 2.4T A95B Quark MXFP4 requires approximately 279.2 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 Quark MXFP4 and how large is it?

Qwen3.8 2.4T A95B Quark MXFP4 is developed by amd, a model with 1247.9b 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 Quark MXFP4?

Qwen3.8 2.4T A95B Quark MXFP4 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 Quark MXFP4 by amd — VRAM 279.2GB, 256K context

Name: Qwen3.8 2.4T A95B Quark MXFP4
Author: amd

Qwen3.8 2.4T A95B Quark MXFP4 is an open-source language model by amd. Features: 1247.9b LLM, VRAM: 279.2GB, Context: 256K, MoE, LLM Explorer Score: 0.33.

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

Model Card on HF 🤗: https://huggingface.co/amd/Qwen3.8-2.4T-A95B-Quark-MXFP4

Qwen3.8 2.4T A95B Quark MXFP4 Parameters and Internals

LLM Name	Qwen3.8 2.4T A95B Quark MXFP4
Repository 🤗	https://huggingface.co/amd/Qwen3.8-2.4T-A95B-Quark-MXFP4
Base Model(s)	Qwen/Qwen3.8-2.4T-A95B-FP8 Qwen/Qwen3.8-2.4T-A95B-FP8
Model Size	1247.9b
Required VRAM	279.2 GB
Updated	2026-08-14
Maintainer	amd
Model Type	qwen3_5_moe_text
Model Files	9.1 GB: 1-of-213 4.6 GB: 2-of-213 9.1 GB: 3-of-213 4.6 GB: 4-of-213 9.1 GB: 5-of-213 4.6 GB: 6-of-213 9.1 GB: 7-of-213 4.6 GB: 8-of-213 9.1 GB: 9-of-213 4.6 GB: 10-of-213 4.0 GB: 11-of-213 9.1 GB: 12-of-213 4.6 GB: 13-of-213 9.1 GB: 14-of-213 4.6 GB: 15-of-213 9.1 GB: 16-of-213 4.6 GB: 17-of-213 9.1 GB: 18-of-213 4.6 GB: 19-of-213 4.0 GB: 20-of-213 9.1 GB: 21-of-213 4.6 GB: 22-of-213 9.1 GB: 23-of-213 4.6 GB: 24-of-213 4.1 GB: 25-of-213 2.8 GB: 26-of-213 9.1 GB: 27-of-213 4.6 GB: 28-of-213 9.1 GB: 29-of-213 4.6 GB: 30-of-213 9.1 GB: 31-of-213 4.6 GB: 32-of-213 9.1 GB: 33-of-213 4.6 GB: 34-of-213 9.1 GB: 35-of-213 4.6 GB: 36-of-213 4.0 GB: 37-of-213 9.1 GB: 38-of-213 4.6 GB: 39-of-213 9.1 GB: 40-of-213 4.6 GB: 41-of-213 9.1 GB: 42-of-213 4.6 GB: 43-of-213
Supported Languages	en
Model Architecture	Qwen3_5MoeForCausalLM
Context Length	262144
Model Max Length	262144
Transformers Version	4.57.3
Vocabulary Size	248320

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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