What are the hardware requirements for Qwen3 16B A3B Base?

Qwen3 16B A3B Base requires approximately 32.1 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3 16B A3B Base and how large is it?

Qwen3 16B A3B Base is developed by Columbidae, 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 16B A3B Base?

Qwen3 16B A3B Base is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 16B A3B Base by Columbidae — VRAM 32.1GB, 32K context

Name: Qwen3 16B A3B Base
Author: Columbidae

Qwen3 16B A3B Base is an open-source language model by Columbidae. Features: 30b LLM, VRAM: 32.1GB, Context: 32K, LLM Explorer Score: 0.19.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-30b-a3b-... Qwen3 moe Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Columbidae/Qwen3-16B-A3B-Base

Qwen3 16B A3B Base Benchmarks

LLME Score: 0.19317

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Qwen3 16B A3B Base (Columbidae/Qwen3-16B-A3B-Base)

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Qwen3 16B A3B Base Parameters and Internals

LLM Name	Qwen3 16B A3B Base
Repository 🤗	https://huggingface.co/Columbidae/Qwen3-16B-A3B-Base
Base Model(s)	Qwen3 30B A3B Base Qwen/Qwen3-30B-A3B-Base
Model Size	30b
Required VRAM	32.1 GB
Updated	2026-04-29
Maintainer	Columbidae
Model Type	qwen3_moe
Model Files	5.0 GB: 1-of-7 5.0 GB: 2-of-7 5.0 GB: 3-of-7 5.0 GB: 4-of-7 5.0 GB: 5-of-7 5.0 GB: 6-of-7 2.1 GB: 7-of-7 32.1 GB
Model Architecture	Qwen3MoeForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.52.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Best Alternatives to Qwen3 16B A3B Base

Best Alternatives	Context / RAM	Downloads	Likes
...LL MASTER CODER M 1million Ctx	1024K / 84.8 GB	172	6
... 42B A3B Thinking Total Recall	986K / 84.8 GB	26	0
Qwen3 30B A3B YOYO V3	986K / 61.1 GB	5	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	24	5
Qwen3 Coder 30B A3B Instruct	256K / 61.1 GB	2406663	1019
Qwen3 30B A3B Instruct 2507	256K / 61.1 GB	1131278	805
Qwen3 30B A3B Instruct 2507	256K / 61.1 GB	2945	13
Lynx Instruct 30B	256K / 61.1 GB	360455	3

Note: green Score (e.g. "73.2") means that the model is better than Columbidae/Qwen3-16B-A3B-Base.

Rank the Qwen3 16B A3B Base 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

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Qwen3 16B A3B Base by Columbidae

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Qwen3 16B A3B Base Benchmarks

Qwen3 16B A3B Base Parameters and Internals

Best Alternatives to Qwen3 16B A3B Base

Rank the Qwen3 16B A3B Base Capabilities

What open-source LLMs or SLMs are you in search of? 53444 in total.