Taiwan ELM 270M by liswei

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  Autotrain compatible   Base model:apple/openelm-270m Base model:finetune:apple/open...   Conversational   Custom code Dataset:liswei/taiwan-text-exc...   Openelm   Region:us   Safetensors   Tensorboard   Zh
Model Card on HF ๐Ÿค—: https://huggingface.co/liswei/Taiwan-ELM-270M 

Taiwan ELM 270M Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Taiwan ELM 270M (liswei/Taiwan-ELM-270M)
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Taiwan ELM 270M Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
research
Considerations:
Model is designed for efficient operation on limited computational resources.
Additional Notes 
The model is adaptable to different base models and data sizes depending on demand.
Supported Languages 
zh (Traditional Chinese)
Training Details 
Data Sources:
liswei/Taiwan-Text-Excellence-2B, liswei/PromptPair-TW
Data Volume:
2B Traditional Chinese tokens and 500K instruction samples
Methodology:
Custom fork of LLaMA-Factory
Input Output 
Input Format:
~~[INST] <> {{ system_prompt }} <> {{ user_message }} [/INST]
Accepted Modalities:
text
LLM NameTaiwan ELM 270M
Repository ๐Ÿค—https://huggingface.co/liswei/Taiwan-ELM-270M 
Base Model(s)  liswei/Taiwan-ELM   OpenELM 270M   liswei/Taiwan-ELM   apple/OpenELM-270M
Model Size2b
Required VRAM1.2 GB
Updated2025-09-14
Maintainerliswei
Model Typeopenelm
Model Files  1.2 GB   0.0 GB
Supported Languageszh
Model ArchitectureOpenELMForCausalLM
Licenseapache-2.0
Transformers Version4.40.1
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size61758
Torch Data Typefloat32

Rank the Taiwan ELM 270M 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