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SeaLLMs V3 7B by SeaLLMs

 »  All LLMs  »  SeaLLMs  »  SeaLLMs V3 7B   URL Share it on

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  Arxiv:2009.03300   Arxiv:2210.03057   Arxiv:2306.05179   Arxiv:2407.19672   Autotrain compatible   Conversational   En   Endpoints compatible   Id   Ms   Multilingual   Qwen2   Region:us   Safetensors   Sea   Sharded   Tensorflow   Th   Vi   Zh
Model Card on HF 🤗: https://huggingface.co/SeaLLMs/SeaLLMs-v3-7B 

SeaLLMs V3 7B Benchmarks

LLME Score: 0.20788
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SeaLLMs V3 7B (SeaLLMs/SeaLLMs-v3-7B)

SeaLLMs V3 7B Parameters and Internals

Model Type 
multilingual, instruction-following, text generation
Use Cases 
Areas:
research, commercial applications
Primary Use Cases:
language handling in SEA region
Supported Languages 
en (English), zh (Chinese), id (Indonesian), vi (Vietnamese), th (Thai), ms (Malay)
LLM NameSeaLLMs V3 7B
Repository 🤗https://huggingface.co/SeaLLMs/SeaLLMs-v3-7B 
Model Size7b
Required VRAM30.5 GB
Updated2025-03-22
MaintainerSeaLLMs
Model Typeqwen2
Model Files  5.0 GB: 1-of-7   4.8 GB: 2-of-7   4.9 GB: 3-of-7   4.9 GB: 4-of-7   5.0 GB: 5-of-7   3.7 GB: 6-of-7   2.2 GB: 7-of-7
Supported Languagesen zh id vi th ms
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length131072
Model Max Length131072
Transformers Version4.38.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typefloat32
Errorsreplace

Best Alternatives to SeaLLMs V3 7B

Best Alternatives
Context / RAM
Downloads
Likes
Qwen2.5 7B Instruct 1M986K / 15.4 GB127147274
Hush Qwen2.5 7B Preview986K / 15.2 GB860
Hush Qwen2.5 7B RP V1.4 1M986K / 15.2 GB422
Hush Qwen2.5 7B V1.1986K / 15.2 GB291
Hush Qwen2.5 7B V1.2986K / 15.2 GB221
Hush Qwen2.5 7B V1.3986K / 15.2 GB272
Hush Qwen2.5 7B V1.4986K / 15.2 GB241
Qwen2.5 7B RRP 1M986K / 15.2 GB1556
Qwen2.5 7B MixStock V0.1986K / 15.2 GB1083
Qwen2.5 7B Preview986K / 15.2 GB220
Note: green Score (e.g. "73.2") means that the model is better than SeaLLMs/SeaLLMs-v3-7B.

Rank the SeaLLMs V3 7B 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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