Taiwan Tinyllama V1.0 Chat by DavidLanz

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  Autotrain compatible   Conversational Dataset:benchang1110/pretraine... Dataset:huggingfacetb/cosmoped...   Endpoints compatible   Llama   Region:us   Safetensors   Zh

Taiwan Tinyllama V1.0 Chat Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Taiwan Tinyllama V1.0 Chat (DavidLanz/Taiwan-tinyllama-v1.0-chat)

Taiwan Tinyllama V1.0 Chat Parameters and Internals

Model Type 
text generation, causal language modeling
Additional Notes 
This model is tailored for Traditional Chinese
Supported Languages 
zh (fluent)
Training Details 
Data Sources:
benchang1110/pretrainedtw, HuggingFaceTB/cosmopedia-100k
Data Volume:
2B tokens
Methodology:
continue pretraining
Input Output 
Input Format:
Text input for model prompts
Accepted Modalities:
text
Output Format:
Text
Performance Tips:
Using bfloat16 lowers the VRAM requirement to around 3GB
LLM NameTaiwan Tinyllama V1.0 Chat
Repository ๐Ÿค—https://huggingface.co/DavidLanz/Taiwan-tinyllama-v1.0-chat 
Model Size1.1b
Required VRAM2.2 GB
Updated2025-02-22
MaintainerDavidLanz
Model Typellama
Model Files  2.2 GB
Supported Languageszh
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.44.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than DavidLanz/Taiwan-tinyllama-v1.0-chat.

Rank the Taiwan Tinyllama V1.0 Chat 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 v20241227