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Sailor 1.8B by sail

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Sailor 1.8B is an open-source language model by sail. Features: 1.8b LLM, VRAM: 3.7GB, Context: 8K, License: apache-2.0, LLM Explorer Score: 0.16, Arc: 33.1, HellaSwag: 57.1, MMLU: 30.4, GSM8K: 2.7.

  Arxiv:2404.03608 Base model:finetune:qwen/qwen1...   Base model:qwen/qwen1.5-1.8b   Conversational   Dataset:allenai/madlad-400   Dataset:cc100 Dataset:cerebras/slimpajama-62...   Dataset:skywork/skypile-150b   En   Id   Lo   Model-index   Ms   Multilingual   Qwen2   Region:us   Safetensors   Sailor   Sea   Th   Vi   Zh
Model Card on HF 🤗: https://huggingface.co/sail/Sailor-1.8B 

Sailor 1.8B Benchmarks

ARC: 33.11 vs 96.7 (so35)-65.8%
HellaSwag: 57.06 vs 95.3 (gpt4)-40.1%
MMLU: 30.44 vs 88.3 (so35)-65.5%
GSM8K: 2.73 vs 96.4 (so35)-97.2%
LLME Score: 0.16194
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Sailor 1.8B (sail/Sailor-1.8B)
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Sailor 1.8B Parameters and Internals

LLM NameSailor 1.8B
Repository 🤗https://huggingface.co/sail/Sailor-1.8B 
Base Model(s)  Qwen/Qwen1.5-1.8B   Qwen/Qwen1.5-1.8B
Model Size1.8b
Required VRAM3.7 GB
Updated2026-05-14
Maintainersail
Model Typeqwen2
Model Files  3.7 GB
Supported Languagesen zh id th vi ms lo
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.37.0.dev0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than sail/Sailor-1.8B.

Rank the Sailor 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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