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Taiwan ELM 1 1B by liswei

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  Autotrain compatible   Base model:apple/openelm-1 1b Base model:finetune:apple/open...   Conversational   Custom code Dataset:liswei/taiwan-text-exc...   Openelm   Region:us   Safetensors   Tensorboard   Zh
Model Card on HF 🤗: https://huggingface.co/liswei/Taiwan-ELM-1_1B 

Taiwan ELM 1 1B Benchmarks

LLME Score: 0.15393
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Taiwan ELM 1 1B (liswei/Taiwan-ELM-1_1B)
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Taiwan ELM 1 1B Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
research, commercial applications
Additional Notes 
The model is designed for efficient use in Taiwan, focusing on large model performance with efficient resource requirements.
Supported Languages 
zh (Traditional Chinese)
Training Details 
Data Sources:
liswei/Taiwan-Text-Excellence-2B
Data Volume:
2B Traditional Chinese tokens, 500K instruction samples
Methodology:
Custom fork of LLaMA-Factory
Model Architecture:
Efficient LLM for Taiwan
Input Output 
Input Format:
~~[INST] <> {{ system_prompt }} <> {{ user_message }} [/INST]
Accepted Modalities:
text
LLM NameTaiwan ELM 1 1B
Repository 🤗https://huggingface.co/liswei/Taiwan-ELM-1_1B 
Base Model(s)  liswei/Taiwan-ELM   OpenELM 1 1B   liswei/Taiwan-ELM   apple/OpenELM-1_1B
Model Size1b
Required VRAM4.6 GB
Updated2025-09-23
Maintainerliswei
Model Typeopenelm
Model Files  4.6 GB   0.0 GB
Supported Languageszh
Model ArchitectureOpenELMForCausalLM
Licenseapache-2.0
Transformers Version4.41.1
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size61758
Torch Data Typefloat32

Best Alternatives to Taiwan ELM 1 1B

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Context / RAM
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OpenELM 1 1B Instruct0K / 2.2 GB17429267
OpenELM1 1B SFT0K / 2.2 GB400
Nlp0K / 2.2 GB50
Nlp Final Model 0K / 2.2 GB50
Nlp Final Model0K / 2.2 GB50
Openelm1 1B CP ML ArXiv Papers0K / 2.2 GB120
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Note: green Score (e.g. "73.2") means that the model is better than liswei/Taiwan-ELM-1_1B.

Rank the Taiwan ELM 1 1B 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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