What are the hardware requirements for Qwen3 235B A22B Instruct 2507 1M?

Qwen3 235B A22B Instruct 2507 1M requires approximately 171.9 GB of VRAM and supports a context window of 986K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3 235B A22B Instruct 2507 1M and how large is it?

Qwen3 235B A22B Instruct 2507 1M is developed by chutesai, a model with 235b 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 235B A22B Instruct 2507 1M?

Qwen3 235B A22B Instruct 2507 1M is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 235B A22B Instruct 2507 1M by chutesai — VRAM 171.9GB, 986K context

Name: Qwen3 235B A22B Instruct 2507 1M
Author: chutesai

Qwen3 235B A22B Instruct 2507 1M is an open-source language model by chutesai. Features: 235b LLM, VRAM: 171.9GB, Context: 986K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.2.

Arxiv:2402.17463 Arxiv:2404.06654 Arxiv:2407.02490 Arxiv:2501.15383 Arxiv:2505.09388 Conversational Endpoints compatible Instruct Qwen3 moe Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/chutesai/Qwen3-235B-A22B-Instruct-2507-1M

Qwen3 235B A22B Instruct 2507 1M Parameters and Internals

LLM Name	Qwen3 235B A22B Instruct 2507 1M
Repository 🤗	https://huggingface.co/chutesai/Qwen3-235B-A22B-Instruct-2507-1M
Model Size	235b
Required VRAM	171.9 GB
Updated	2026-07-25
Maintainer	chutesai
Model Type	qwen3_moe
Instruction-Based	Yes
Model Files	4.0 GB: 1-of-118 4.0 GB: 2-of-118 4.0 GB: 3-of-118 4.0 GB: 4-of-118 4.0 GB: 5-of-118 4.0 GB: 6-of-118 4.0 GB: 7-of-118 4.0 GB: 8-of-118 4.0 GB: 9-of-118 4.0 GB: 10-of-118 4.0 GB: 11-of-118 4.0 GB: 12-of-118 4.0 GB: 13-of-118 4.0 GB: 14-of-118 4.0 GB: 15-of-118 4.0 GB: 16-of-118 4.0 GB: 17-of-118 4.0 GB: 18-of-118 4.0 GB: 19-of-118 4.0 GB: 20-of-118 4.0 GB: 21-of-118 4.0 GB: 22-of-118 4.0 GB: 23-of-118 3.9 GB: 24-of-118 4.0 GB: 25-of-118 4.0 GB: 26-of-118 4.0 GB: 27-of-118 4.0 GB: 28-of-118 4.0 GB: 29-of-118 4.0 GB: 30-of-118 4.0 GB: 31-of-118 4.0 GB: 32-of-118 4.0 GB: 33-of-118 4.0 GB: 34-of-118 4.0 GB: 35-of-118 4.0 GB: 36-of-118 4.0 GB: 37-of-118 4.0 GB: 38-of-118 4.0 GB: 39-of-118 4.0 GB: 40-of-118 4.0 GB: 41-of-118 4.0 GB: 42-of-118 4.0 GB: 43-of-118
Model Architecture	Qwen3MoeForCausalLM
License	apache-2.0
Context Length	1010000
Model Max Length	1010000
Transformers Version	4.51.0
Vocabulary Size	151936
Torch Data Type	bfloat16

Rank the Qwen3 235B A22B Instruct 2507 1M 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

Best Alternatives to Qwen3 235B A22B Instruct 2507 1M

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3 235B A22B Instruct 2507	256K / 167.9 GB	28	10
Qwen3 235B A22B Instruct 2507	256K / 171.9 GB	59472	793
Vivo C V1	256K / 156.4 GB	415	2
... 235B A22B Instruct 2507 NVFP4	256K / 139.2 GB	14322	10
...n3 235B A22B Instruct 2507 FP8	256K / 236.5 GB	54126	147
... 235B A22B Instruct 2507 MXFP4	256K / 126.8 GB	1763	2
...n3 235B A22B Instruct 2507 FP8	256K / 236.5 GB	128	3
...3 235B A22B Instruct 2507 4bit	256K / 131.4 GB	2658	3
...3 235B A22B Instruct 2507 8bit	256K / 227.7 GB	2591	2
...5B A22B Instruct 2507 3bit DWQ	256K / 103 GB	174	5

Note: green Score (e.g. "73.2") means that the model is better than chutesai/Qwen3-235B-A22B-Instruct-2507-1M.