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SR2AM V0.1 8B by sailing-lab

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SR2AM V0.1 8B is an open-source language model by sailing-lab. Features: 8b LLM, VRAM: 16.3GB, Context: 40K, License: apache-2.0, LLM Explorer Score: 0.31.

  Arxiv:2605.22138   Agent Base model:finetune:qwen/qwen3...   Base model:qwen/qwen3-8b   Conversational   En   Endpoints compatible   Qwen3   Reasoning   Region:us   Safetensors   Sharded   Simulative-planning   Tensorflow   Tool-use
Model Card on HF 🤗: https://huggingface.co/sailing-lab/SR2AM-v0.1-8B 

SR2AM V0.1 8B Benchmarks

LLME Score: 0.30534
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SR2AM V0.1 8B (sailing-lab/SR2AM-v0.1-8B)
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SR2AM V0.1 8B Parameters and Internals

LLM NameSR2AM V0.1 8B
Repository 🤗https://huggingface.co/sailing-lab/SR2AM-v0.1-8B 
Base Model(s)  Qwen3 8B   Qwen/Qwen3-8B
Model Size8b
Required VRAM16.3 GB
Updated2026-05-23
Maintainersailing-lab
Model Typeqwen3
Model Files  5.3 GB: 0-of-4   5.3 GB: 1-of-4   4.5 GB: 2-of-4   1.2 GB: 3-of-4
Supported Languagesen
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length40960
Model Max Length40960
Transformers Version4.55.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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DeepSeek R1 0528 Qwen3 8B128K / 16.4 GB85118
Note: green Score (e.g. "73.2") means that the model is better than sailing-lab/SR2AM-v0.1-8B.

Rank the SR2AM V0.1 8B 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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