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Taiwan LLaMa V0.9 by yentinglin

 »  All LLMs  »  yentinglin  »  Taiwan LLaMa V0.9   URL Share it on

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  Arxiv:2311.17487   Autotrain compatible Dataset:yentinglin/traditional...   Dataset:yentinglin/zh tw c4   Endpoints compatible   Instruct   Llama   Pytorch   Region:us   Sharded   Zh
Model Card on HF 🤗: https://huggingface.co/yentinglin/Taiwan-LLaMa-v0.9 

Taiwan LLaMa V0.9 Benchmarks

LLME Score: 0.12885
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Taiwan LLaMa V0.9 (yentinglin/Taiwan-LLaMa-v0.9)

Taiwan LLaMa V0.9 Parameters and Internals

Model Type 
GPT-like, text generation
Use Cases 
Areas:
Language understanding, language generation
Applications:
Chat applications, cultural contextual tasks
Primary Use Cases:
Chat interaction in Traditional Chinese
Additional Notes 
The model is tailored specifically for the linguistic and cultural contexts of Taiwan, showing a focus on cultural relevance.
Supported Languages 
Traditional Chinese (Primary)
Training Details 
Data Sources:
yentinglin/zh_TW_c4, yentinglin/traditional_mandarin_instructions
Methodology:
Supervised Fine-Tuning
Input Output 
Input Format:
Chat formatted prompts
Accepted Modalities:
text
Output Format:
Text generation
LLM NameTaiwan LLaMa V0.9
Repository 🤗https://huggingface.co/yentinglin/Taiwan-LLaMa-v0.9 
Required VRAM26 GB
Updated2024-12-22
Maintaineryentinglin
Model Typellama
Instruction-BasedYes
Model Files  9.9 GB: 1-of-3   9.9 GB: 2-of-3   6.2 GB: 3-of-3
Supported Languageszh
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.28.1
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than yentinglin/Taiwan-LLaMa-v0.9.

Rank the Taiwan LLaMa V0.9 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 v20241217
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