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Sailor 7B Chat by sail

 »  All LLMs  »  sail  »  Sailor 7B Chat   URL Share it on

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  Arxiv:2404.03608   Autotrain compatible Base model:finetune:sail/sailo...   Base model:sail/sailor-7b   Chat   Conversational Dataset:cohereforai/aya collec... Dataset:cohereforai/aya datase...   Dataset:open-orca/openorca   En   Endpoints compatible   Id   Instruct   Instruction   Lo   Ms   Multilingual   Qwen2   Region:us   Safetensors   Sailor   Sea   Sft   Th   Vi   Zh
Model Card on HF 🤗: https://huggingface.co/sail/Sailor-7B-Chat 

Sailor 7B Chat Benchmarks

ARC: 52.3 vs 96.7 (so35)-45.9%
HellaSwag: 75.01 vs 95.3 (gpt4)-21.3%
MMLU: 56.24 vs 88.3 (so35)-36.3%
TruthfulQA: 44.09 vs 59 (gpt4)-25.3%
WinoGrande: 70.8 vs 87.5 (gpt4)-19.1%
GSM8K: 30.4 vs 96.4 (so35)-68.5%
LLME Score: 0.18794
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Sailor 7B Chat (sail/Sailor-7B-Chat)

Sailor 7B Chat Parameters and Internals

Model Type 
multilingual, chat, instruction
Supported Languages 
en (proficient), zh (proficient), id (proficient), th (proficient), vi (proficient), ms (proficient), lo (proficient)
Training Details 
Data Sources:
SlimPajama, SkyPile, CC100, MADLAD-400
Data Volume:
200B to 400B tokens
Methodology:
Continual pre-training with aggressive data deduplication and careful cleaning
LLM NameSailor 7B Chat
Repository 🤗https://huggingface.co/sail/Sailor-7B-Chat 
Base Model(s)  Sailor 7B   sail/Sailor-7B
Model Size7b
Required VRAM15.4 GB
Updated2025-04-23
Maintainersail
Model Typeqwen2
Instruction-BasedYes
Model Files  15.4 GB
Supported Languagesen zh id th vi ms lo
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Qwen2.5 7B Rebase986K / 15.2 GB802
Note: green Score (e.g. "73.2") means that the model is better than sail/Sailor-7B-Chat.

Rank the Sailor 7B Chat 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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Release v20241227
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