Sailor 7B is an open-source language model by sail. Features: 7b LLM, VRAM: 15.4GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.14, Arc: 49.8, HellaSwag: 76.2, MMLU: 54.8, GSM8K: 32.5.
Sailor 7B Parameters and Internals
Model Type Use Cases
Areas: research, commercial applications
Primary Use Cases: question answering, commonsense reasoning in SEA languages
Supported Languages en (proficient), zh (proficient), id (proficient), th (proficient), vi (proficient), ms (proficient), lo (proficient)
Training Details
Data Sources: cerebras/SlimPajama-627B, Skywork/SkyPile-150B, allenai/MADLAD-400, cc100
Data Volume: 200B to 400B tokens depending on model sizes
Methodology: Aggressive data deduplication and systematic experiments for language weighting
Input Output
Input Format: Accepted Modalities: Output Format:
LLM Name Sailor 7B Repository 🤗 https://huggingface.co/sail/Sailor-7B Base Model(s) Qwen/Qwen1.5-7B Model Size 7b Required VRAM 15.4 GB Updated 2026-07-23 Maintainer sail Model Type qwen2 Model Files 15.4 GB Supported Languages en zh id th vi ms lo Model Architecture Qwen2ForCausalLM License apache-2.0 Context Length 32768 Model Max Length 32768 Transformers Version 4.37.2 Tokenizer Class Qwen2Tokenizer Padding Token <|endoftext|> Vocabulary Size 151936 Torch Data Type bfloat16 Errors replace
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Instruction Following and Task Automation
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