SR2AM V1.0 30B by sailing-lab

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SR2AM V1.0 30B is an open-source language model by sailing-lab. Features: 30b LLM, VRAM: 61.4GB, Context: 256K, License: apache-2.0, LLM Explorer Score: 0.33.

  Arxiv:2605.22138   Agent Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-30b-a3b-...   Conversational   En   Endpoints compatible   Qwen3 moe   Reasoning   Region:us   Safetensors   Sharded   Simulative-planning   Tensorflow   Tool-use

SR2AM V1.0 30B Benchmarks

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

SR2AM V1.0 30B Parameters and Internals

LLM NameSR2AM V1.0 30B
Repository 🤗https://huggingface.co/sailing-lab/SR2AM-v1.0-30B 
Base Model(s)  Qwen3 30B A3B Thinking 2507   Qwen/Qwen3-30B-A3B-Thinking-2507
Model Size30b
Required VRAM61.4 GB
Updated2026-05-24
Maintainersailing-lab
Model Typeqwen3_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 Languagesen
Model ArchitectureQwen3MoeForCausalLM
Licenseapache-2.0
Context Length262144
Model Max Length262144
Transformers Version4.57.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Errorsreplace

Best Alternatives to SR2AM V1.0 30B

Best Alternatives
Context / RAM
Downloads
Likes
...LL MASTER CODER M 1million Ctx1024K / 84.8 GB196
... 42B A3B Thinking Total Recall986K / 84.8 GB260
Qwen3 30B A3B YOYO V3986K / 61.1 GB97
...07 YOYO2 TOTAL RECALL Instruct986K / 84.8 GB271
...07 YOYO2 TOTAL RECALL Instruct986K / 106 GB200
Qwen3 30B A3B YOYO V2986K / 61.1 GB205
Qwen3 Coder 30B A3B Instruct256K / 61.1 GB20067111064
Qwen3 30B A3B Instruct 2507256K / 61.1 GB1207589809
Qwen3 30B A3B Instruct 2507256K / 61.1 GB469613
Lynx Instruct 30B256K / 61.1 GB4453013
Note: green Score (e.g. "73.2") means that the model is better than sailing-lab/SR2AM-v1.0-30B.

Rank the SR2AM V1.0 30B Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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Release v20260328a