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Sailor2 1B Chat by sail

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Sailor2 1B Chat is an open-source language model by sail. Features: 1b LLM, VRAM: 2GB, Context: 4K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.18.

  Arxiv:2502.12982 Base model:finetune:sail/sailo...   Base model:sail/sailor2-1b   Chat   Conversational   En   Endpoints compatible   Id   Instruct   Instruction   Jv   Km   Lo   Ms   Multilingual   My   Qwen2   Region:us   Safetensors   Sailor   Sea   Sft   Su   Th   Tl   Vi   Zh
Model Card on HF 🤗: https://huggingface.co/sail/Sailor2-1B-Chat 

Sailor2 1B Chat Benchmarks

LLME Score: 0.17777
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Sailor2 1B Chat (sail/Sailor2-1B-Chat)
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Sailor2 1B Chat Parameters and Internals

LLM NameSailor2 1B Chat
Repository 🤗https://huggingface.co/sail/Sailor2-1B-Chat 
Base Model(s)  Sailor2 1B   sail/Sailor2-1B
Model Size1b
Required VRAM2 GB
Updated2026-03-09
Maintainersail
Model Typeqwen2
Instruction-BasedYes
Model Files  2.0 GB
Supported Languagesen zh id th vi ms lo my jv km su tl
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.46.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

Quantized Models of the Sailor2 1B Chat

Model
Likes
Downloads
VRAM
Sailor2 1B Chat GGUF4640 GB

Best Alternatives to Sailor2 1B Chat

Best Alternatives
Context / RAM
Downloads
Likes
PRYMMAL ECE 1B SLERP V132K / 9.7 GB60
ECE 1B Merge PRYMMAL32K / 3.6 GB80
ECE PRYMMAL1B FT V132K / 6.2 GB60
MilkyLoong Qwen2.5 1.5B Base132K / 3.1 GB50
Qwen2.5 1B Instruct32K / 2 GB330
NanoLM 1B Instruct V24K / 2.1 GB41
NanoLM 1B Instruct V1.14K / 2.1 GB81
Note: green Score (e.g. "73.2") means that the model is better than sail/Sailor2-1B-Chat.

Rank the Sailor2 1B Chat 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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