What are the hardware requirements for Qwen3 30B A3B Instruct 2507 8bit?

Qwen3 30B A3B Instruct 2507 8bit requires approximately 32.5 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 30B A3B Instruct 2507 8bit and how large is it?

Qwen3 30B A3B Instruct 2507 8bit is developed by mlx-community, a model with 30b 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 30B A3B Instruct 2507 8bit?

Qwen3 30B A3B Instruct 2507 8bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 30B A3B Instruct 2507 8bit by mlx-community — VRAM 32.5GB, 256K context

Name: Qwen3 30B A3B Instruct 2507 8bit
Author: mlx-community

Qwen3 30B A3B Instruct 2507 8bit is an open-source language model by mlx-community. Features: 30b LLM, VRAM: 32.5GB, Context: 256K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.2.

8-bit 8bit Base model:quantized:qwen/qwen... Base model:qwen/qwen3-30b-a3b-... Conversational Instruct Mlx Quantized Qwen3 moe Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mlx-community/Qwen3-30B-A3B-Instruct-2507-8bit

Qwen3 30B A3B Instruct 2507 8bit Parameters and Internals

LLM Name	Qwen3 30B A3B Instruct 2507 8bit
Repository 🤗	https://huggingface.co/mlx-community/Qwen3-30B-A3B-Instruct-2507-8bit
Base Model(s)	Qwen3 30B A3B Instruct 2507 Qwen/Qwen3-30B-A3B-Instruct-2507
Model Size	30b
Required VRAM	32.5 GB
Updated	2026-05-22
Maintainer	mlx-community
Model Type	qwen3_moe
Instruction-Based	Yes
Model Files	5.2 GB: 1-of-7 5.3 GB: 2-of-7 5.3 GB: 3-of-7 5.3 GB: 4-of-7 5.3 GB: 5-of-7 5.3 GB: 6-of-7 0.8 GB: 7-of-7
Quantization Type	8bit
Model Architecture	Qwen3MoeForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	4.51.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen3 30B A3B Instruct 2507 8bit 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 30B A3B Instruct 2507 8bit

Best Alternatives	Context / RAM	Downloads	Likes
...en3 30B A3B Instruct 2507 4bit	256K / 17.2 GB	83766	12
...30B A3B Instruct 2507 MLX 4bit	256K / 17.2 GB	24652	8
...30B A3B Instruct 2507 MLX 8bit	256K / 32.5 GB	24655	3
...n3 Coder 30B A3B Instruct 4bit	256K / 17.2 GB	7252	33
...r 30B A3B Instruct 4bit Dwq V2	256K / 17.2 GB	1342	10
...n3 Coder 30B A3B Instruct 8bit	256K / 32.5 GB	1277	7
...oder 30B A3B Instruct 4bit DWQ	256K / 17.2 GB	644	5
Q3 30B A3B Designant	32K / 61.1 GB	29	16
...LL MASTER CODER M 1million Ctx	1024K / 84.8 GB	108	9
Qwen3 30B A3B YOYO V3	986K / 61.1 GB	11	7

Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Qwen3-30B-A3B-Instruct-2507-8bit.