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

Qwen3.8 2.4T A95B requires approximately 999.3 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 and how large is it?

Qwen3.8 2.4T A95B is developed by robertbschuette, a model with 2446.2b 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?

Qwen3.8 2.4T A95B 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 by robertbschuette — VRAM 999.3GB, 256K context

Name: Qwen3.8 2.4T A95B
Author: robertbschuette

Qwen3.8 2.4T A95B is an open-source language model by robertbschuette. Features: 2446.2b LLM, VRAM: 999.3GB, Context: 256K, License: other, MoE, LLM Explorer Score: 0.3.

Conversational Endpoints compatible Moe Qwen3 5 moe text Region:us Safetensors Sharded Tensorflow

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

Qwen3.8 2.4T A95B Parameters and Internals

LLM Name	Qwen3.8 2.4T A95B
Repository 🤗	https://huggingface.co/robertbschuette/Qwen3.8-2.4T-A95B
Model Size	2446.2b
Required VRAM	999.3 GB
Updated	2026-10-11
Maintainer	robertbschuette
Model Type	qwen3_5_moe_text
Model Files	34.4 GB: 1-of-213 17.2 GB: 2-of-213 34.4 GB: 3-of-213 17.2 GB: 4-of-213 34.4 GB: 5-of-213 17.2 GB: 6-of-213 34.4 GB: 7-of-213 17.2 GB: 8-of-213 34.4 GB: 9-of-213 17.2 GB: 10-of-213 4.0 GB: 11-of-213 34.4 GB: 12-of-213 17.2 GB: 13-of-213 34.4 GB: 14-of-213 17.2 GB: 15-of-213 34.4 GB: 16-of-213 17.2 GB: 17-of-213 34.4 GB: 18-of-213 17.2 GB: 19-of-213 4.0 GB: 20-of-213 34.4 GB: 21-of-213 17.2 GB: 22-of-213 34.4 GB: 23-of-213 17.2 GB: 24-of-213 4.1 GB: 25-of-213 2.8 GB: 26-of-213 34.4 GB: 27-of-213 17.2 GB: 28-of-213 34.4 GB: 29-of-213 17.2 GB: 30-of-213 34.4 GB: 31-of-213 17.2 GB: 32-of-213 34.4 GB: 33-of-213 17.2 GB: 34-of-213 34.4 GB: 35-of-213 17.2 GB: 36-of-213 4.0 GB: 37-of-213 34.4 GB: 38-of-213 17.2 GB: 39-of-213 34.4 GB: 40-of-213 17.2 GB: 41-of-213 34.4 GB: 42-of-213 17.2 GB: 43-of-213
Model Architecture	Qwen3_5MoeForCausalLM
License	other
Context Length	262144
Model Max Length	262144
Transformers Version	4.57.3
Vocabulary Size	248320

Rank the Qwen3.8 2.4T A95B 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

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.8 2.4T A95B	256K / 999.3 GB	978	407
Qwen3.8 2.4T A95B FP8	256K / 509.1 GB	3851	99
Qwen3.8 2.4T A95B	256K / 999.3 GB	281	1
...8 2.4T A95B MXFP4 CT AutoRound	256K / 273.4 GB	106	1

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