What are the hardware requirements for Qwen3.9 245B A29B?

Qwen3.9 245B A29B requires a context window of 1K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.9 245B A29B and how large is it?

Qwen3.9 245B A29B is developed by QwennAI, a model with 245b 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 Qwen3.9 245B A29B?

Qwen3.9 245B A29B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.9 245B A29B by QwennAI — 1K context

Name: Qwen3.9 245B A29B
Author: QwennAI

Qwen3.9 245B A29B is an open-source language model by QwennAI. Features: 245b LLM, Context: 1K, License: apache-2.0, LLM Explorer Score: 0.32.

Agent Conversational En Endpoints compatible Moe Qwen Qwen3 Reasoning Region:us Safetensors Thinking Zh

Model Card on HF 🤗: https://huggingface.co/QwennAI/Qwen3.9-245B-A29B

Qwen3.9 245B A29B Parameters and Internals

LLM Name	Qwen3.9 245B A29B
Repository 🤗	https://huggingface.co/QwennAI/Qwen3.9-245B-A29B
Model Size	245b
Required VRAM	0 GB
Updated	2026-08-25
Maintainer	QwennAI
Model Type	qwen3
Model Files	0.0 GB 0.0 GB
Supported Languages	en zh
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	1024
Model Max Length	1024
Transformers Version	5.14.1
Tokenizer Class	TokenizersBackend
Padding Token	<pad>
Vocabulary Size	4096

Rank the Qwen3.9 245B A29B 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