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SeaLLM 7B V2.5 by SeaLLMs

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Model Card on HF 🤗: https://huggingface.co/SeaLLMs/SeaLLM-7B-v2.5 

SeaLLM 7B V2.5 Benchmarks

MMLU Pro: 24.48
GPQA: 3.47
MUSR: 11.61
BBH: 28.74
IFEval: 45.22 vs 88 (so35)-48.6%
ARC: 63.48 vs 96.7 (so35)-34.4%
HellaSwag: 81.54 vs 95.3 (gpt4)-14.4%
MMLU: 64.93 vs 88.3 (so35)-26.5%
TruthfulQA: 53.78 vs 59 (gpt4)-8.8%
WinoGrande: 76.32 vs 87.5 (gpt4)-12.8%
GSM8K: 74.37 vs 96.4 (so35)-22.9%
MATH Lvl 5: 10.88
LLME Score: 0.29826
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SeaLLM 7B V2.5 (SeaLLMs/SeaLLM-7B-v2.5)

SeaLLM 7B V2.5 Parameters and Internals

LLM NameSeaLLM 7B V2.5
Repository 🤗https://huggingface.co/SeaLLMs/SeaLLM-7B-v2.5 
Model Size7b
Required VRAM17.1 GB
Updated2025-03-19
MaintainerSeaLLMs
Model Typegemma
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   5.0 GB: 3-of-4   2.1 GB: 4-of-4
Supported Languagesen zh vi id th ms km lo my tl
Model ArchitectureGemmaForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.40.0.dev0
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typebfloat16

Quantized Models of the SeaLLM 7B V2.5

Model
Likes
Downloads
VRAM
SeaLLM 7B V2.5 AWQ2277 GB
SeaLLM 7B V2.5 AWQ065 GB
...ary Vietnamese Article V1 Gguf0665 GB
...LM 7B V2.5 ORPO SARAA M 1 GGUF0205 GB
...aLLM 7B V2.5 ORPO SARAA M GGUF089 GB
...aLLM 7B V2.5 ORPO SARAA S GGUF055 GB
...aLLM 7B V2.5 ORPO SARAA M.GGUF055 GB
SeaLLM 7B V2.5 4bit0115 GB

Best Alternatives to SeaLLM 7B V2.5

Best Alternatives
Context / RAM
Downloads
Likes
Kaggle Math Model Gemma V112K / 17.1 GB100
Gemma 1.1 7B It8K / 17.1 GB17912270
Zephyr 7B Gemma Rpo Avg8K / 17.1 GB430
Zephyr 7B Gemma DPO Avg8K / 17.1 GB150
... 7B Finetuned Sft Navarasa 2.08K / 34 GB2777018
... Codegemma 2 7B It Alpaca V1.38K / 17.1 GB121
Zephyr 7B Gemma V0.18K / 17.1 GB591124
SauerkrautLM Gemma 7B8K / 17.1 GB302813
Codegemma 7B8K / 17.1 GB3645179
Codegemma 7B It8K / 17.1 GB2646215
Note: green Score (e.g. "73.2") means that the model is better than SeaLLMs/SeaLLM-7B-v2.5.

Rank the SeaLLM 7B V2.5 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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Release v20241227
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