What are the hardware requirements for Qwen3 Swallow 30B A3B RL V0.2?

Qwen3 Swallow 30B A3B RL V0.2 requires approximately 61.4 GB of VRAM and supports a context window of 40K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3 Swallow 30B A3B RL V0.2 and how large is it?

Qwen3 Swallow 30B A3B RL V0.2 is developed by tokyotech-llm, 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 Swallow 30B A3B RL V0.2?

Qwen3 Swallow 30B A3B RL V0.2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 Swallow 30B A3B RL V0.2 by tokyotech-llm — VRAM 61.4GB, 40K context

Name: Qwen3 Swallow 30B A3B RL V0.2
Author: tokyotech-llm

Qwen3 Swallow 30B A3B RL V0.2 is an open-source language model by tokyotech-llm. Features: 30b LLM, VRAM: 61.4GB, Context: 40K, License: apache-2.0, LLM Explorer Score: 0.24.

Arxiv:2404.17733 Arxiv:2412.02595 Arxiv:2505.09388 Base model:finetune:tokyotech-... Base model:tokyotech-llm/qwen3... Conversational Dataset:tokyotech-llm/lmsys-ch... Dataset:tokyotech-llm/swallow-... Dataset:tokyotech-llm/swallow-... Dataset:tokyotech-llm/swallow-... En Endpoints compatible Ja Qwen3 moe Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/tokyotech-llm/Qwen3-Swallow-30B-A3B-RL-v0.2

Qwen3 Swallow 30B A3B RL V0.2 Parameters and Internals

LLM Name	Qwen3 Swallow 30B A3B RL V0.2
Repository 🤗	https://huggingface.co/tokyotech-llm/Qwen3-Swallow-30B-A3B-RL-v0.2
Base Model(s)	tokyotech-llm/Qwen3-Swallow-30B-A3B-SFT-v0.2 tokyotech-llm/Qwen3-Swallow-30B-A3B-SFT-v0.2
Model Size	30b
Required VRAM	61.4 GB
Updated	2026-07-31
Maintainer	tokyotech-llm
Model Type	qwen3_moe
Model Files	5.4 GB: 0-of-12 5.4 GB: 1-of-12 5.4 GB: 2-of-12 5.4 GB: 3-of-12 5.4 GB: 4-of-12 5.4 GB: 5-of-12 5.4 GB: 6-of-12 5.4 GB: 7-of-12 5.4 GB: 8-of-12 5.4 GB: 9-of-12 4.9 GB: 10-of-12 2.5 GB: 11-of-12
Supported Languages	en ja
Model Architecture	Qwen3MoeForCausalLM
License	apache-2.0
Context Length	40960
Model Max Length	40960
Transformers Version	4.57.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

Rank the Qwen3 Swallow 30B A3B RL V0.2 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 Swallow 30B A3B RL V0.2

Best Alternatives	Context / RAM	Downloads	Likes
...LL MASTER CODER M 1million Ctx	1024K / 84.8 GB	176	9
... 42B A3B Thinking Total Recall	986K / 84.8 GB	26	0
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 30B A3B Instruct 2507	256K / 61.1 GB	3937	13
Qwen3 Coder 30B A3B Instruct	256K / 61.1 GB	1746771	1168
Qwen3 30B A3B Instruct 2507	256K / 61.1 GB	1903736	824
...en3 Coder 30B A3B Instruct FP8	256K / 31.2 GB	1556690	191

Note: green Score (e.g. "73.2") means that the model is better than tokyotech-llm/Qwen3-Swallow-30B-A3B-RL-v0.2.