SeaLLM 7B V2.5 by SeaLLMs

 ยป  All LLMs  ยป  SeaLLMs  ยป  SeaLLM 7B V2.5   URL Share it on

  Arxiv:2306.05179   Arxiv:2312.00738   Autotrain compatible   Conversational   En   Endpoints compatible   Gemma   Id   Km   License:other   Lo   Ms   Multilingual   My   Region:us   Safetensors   Sea   Sharded   Tensorflow   Th   Tl   Vi   Zh

SeaLLM 7B V2.5 Benchmarks

SeaLLM 7B V2.5 Parameters and Internals

LLM NameSeaLLM 7B V2.5
RepositoryOpen on ๐Ÿค— 
Model Size7b
Required VRAM17.1 GB
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
Context Length8192
Model Max Length8192
Transformers Version4.40.0.dev0
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typebfloat16
SeaLLM 7B V2.5 (SeaLLMs/SeaLLM-7B-v2.5)

Best Alternatives to SeaLLM 7B V2.5

Best Alternatives
HF Rank
Kaggle Math Model Gemma V10.212K / 17.1 GB50
Gemma 1.1 7B It0.68K / 17.1 GB66477254
Zephyr 7B Gemma V0.10.38K / 17.1 GB605120
Codegemma 7B It0.38K / 17.1 GB3775180
DiscoPOP Zephyr 7B Gemma0.38K / 17.1 GB279125
Codegemma 7B0.38K / 17.1 GB2766138
Ge1H10M 00000.38K / 17.1 GB13680
Gemma 7B Openhermes V0.800.38K / 17 GB29691
Gemma 1.1 7B It0.38K / 17.1 GB33953
Gemma 7B Alpaca Case 0 30.38K / 34 GB4710
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

๐Ÿ†˜ 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! ๐ŸŒŸ

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  

What open-source LLMs or SLMs are you in search of? 34211 in total.

Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024071601