What are the hardware requirements for Qwen3 30B A3b 10pct Voice Router?

Qwen3 30B A3b 10pct Voice Router requires approximately 0.2 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 30B A3b 10pct Voice Router and how large is it?

Qwen3 30B A3b 10pct Voice Router is developed by akshay-commits-code, 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 10pct Voice Router?

Qwen3 30B A3b 10pct Voice Router is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 30B A3b 10pct Voice Router by akshay-commits-code — VRAM 0.2GB, 256K context

Name: Qwen3 30B A3b 10pct Voice Router
Author: akshay-commits-code

Qwen3 30B A3b 10pct Voice Router is an open-source language model by akshay-commits-code. Features: 30b LLM, VRAM: 0.2GB, Context: 256K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.33.

8-bit Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-30b-a3b-... Compression Conversational En Expert-pruning Instruct Mixture-of-experts Quantization Qwen3 moe Region:us Safetensors Ten-percent-challenge

Model Card on HF 🤗: https://huggingface.co/akshay-commits-code/qwen3-30b-a3b-10pct-voice-router

Qwen3 30B A3b 10pct Voice Router Parameters and Internals

LLM Name	Qwen3 30B A3b 10pct Voice Router
Repository 🤗	https://huggingface.co/akshay-commits-code/qwen3-30b-a3b-10pct-voice-router
Base Model(s)	Qwen3 30B A3B Instruct 2507 Qwen/Qwen3-30B-A3B-Instruct-2507
Model Size	30b
Required VRAM	0.2 GB
Updated	2026-11-09
Maintainer	akshay-commits-code
Model Type	qwen3_moe
Instruction-Based	Yes
Model Files	0.0 GB 0.2 GB 5.9 GB
Supported Languages	en
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 10pct Voice Router 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 10pct Voice Router

Best Alternatives	Context / RAM	Downloads	Likes
...LL MASTER CODER M 1million Ctx	1024K / 84.8 GB	122	11
Qwen3 30B A3B YOYO V3	986K / 61.1 GB	11	7
...07 YOYO2 TOTAL RECALL Instruct	986K / 84.8 GB	27	1
...07 YOYO2 TOTAL RECALL Instruct	986K / 106 GB	20	0
Qwen3 30B A3B YOYO V2	986K / 61.1 GB	19	4
Qwen3 Coder 30B A3B Instruct	256K / 61.1 GB	1746771	1168
Qwen3 30B A3B Instruct 2507	256K / 61.1 GB	1903736	824
Qwen3 30B A3B Instruct 2507	256K / 61.1 GB	3937	13
...en3 Coder 30B A3B Instruct FP8	256K / 31.2 GB	1556690	191
Lynx Instruct 30B	256K / 61.1 GB	223244	4

Note: green Score (e.g. "73.2") means that the model is better than akshay-commits-code/qwen3-30b-a3b-10pct-voice-router.