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SeaLLM 7B V2 by SeaLLMs

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  Arxiv:2205.11916   Arxiv:2306.05179   Arxiv:2306.05685   Arxiv:2312.00738   Autotrain compatible   Conversational   En   Endpoints compatible   Id   Km   Lo   Mistral   Ms   Multilingual   My   Region:us   Safetensors   Sea   Th   Tl   Vi   Zh
Model Card on HF 🤗: https://huggingface.co/SeaLLMs/SeaLLM-7B-v2 

SeaLLM 7B V2 Benchmarks

MMLU Pro: 23.14
GPQA: 3.8
MUSR: 9.37
BBH: 27.44
IFEval: 36.71 vs 88 (so35)-58.3%
ARC: 62.03 vs 96.7 (so35)-35.9%
HellaSwag: 82.32 vs 95.3 (gpt4)-13.6%
MMLU: 61.89 vs 88.3 (so35)-29.9%
TruthfulQA: 51.11 vs 59 (gpt4)-13.4%
WinoGrande: 79.08 vs 87.5 (gpt4)-9.6%
GSM8K: 68.99 vs 96.4 (so35)-28.4%
MATH Lvl 5: 8.53
LLME Score: 0.24058
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SeaLLM 7B V2 (SeaLLMs/SeaLLM-7B-v2)
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SeaLLM 7B V2 Parameters and Internals

LLM NameSeaLLM 7B V2
Repository 🤗https://huggingface.co/SeaLLMs/SeaLLM-7B-v2 
Model Size7b
Required VRAM14.8 GB
Updated2025-09-10
MaintainerSeaLLMs
Model Typemistral
Model Files  14.8 GB
Supported Languagesen zh vi id th ms km lo my tl
Model ArchitectureMistralForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size48384
Torch Data Typebfloat16

Quantized Models of the SeaLLM 7B V2

Model
Likes
Downloads
VRAM
Ts V2 Gguf067 GB

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Astral 256K 7B250K / 14.4 GB50
Note: green Score (e.g. "73.2") means that the model is better than SeaLLMs/SeaLLM-7B-v2.

Rank the SeaLLM 7B V2 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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