SeaLLM 7B V2.5 4bit by saksornr

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SeaLLM 7B V2.5 4bit Benchmarks

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 4bit Parameters and Internals

Model Type 
text-generation
Additional Notes 
Uploaded model pre-quantized for faster loading.
Supported Languages 
en (English), th (Thai)
LLM NameSeaLLM 7B V2.5 4bit
Repository ๐Ÿค—https://huggingface.co/saksornr/SeaLLM-7B-v2.5-4bit 
Base Model(s)  SeaLLMs/SeaLLM-7B-v2.5   SeaLLMs/SeaLLM-7B-v2.5
Model Size7b
Required VRAM5.6 GB
Updated2024-11-21
Maintainersaksornr
Model Typegemma
Model Files  5.6 GB
Supported Languagesen th
Quantization Type4bit
Model ArchitectureGemmaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.40.1
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typebfloat16
SeaLLM 7B V2.5 4bit (saksornr/SeaLLM-7B-v2.5-4bit)

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Note: green Score (e.g. "73.2") means that the model is better than saksornr/SeaLLM-7B-v2.5-4bit.

Rank the SeaLLM 7B V2.5 4bit 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 v20241110