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CantoneseLLMChat Preview20240326 by hon9kon9ize

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Model Card on HF 🤗: https://huggingface.co/hon9kon9ize/CantoneseLLMChat-preview20240326 

CantoneseLLMChat Preview20240326 Benchmarks

ARC: 52.56 vs 96.7 (so35)-45.6%
HellaSwag: 69.05 vs 95.3 (gpt4)-27.5%
MMLU: 59.19 vs 88.3 (so35)-33%
TruthfulQA: 41.87 vs 59 (gpt4)-29%
WinoGrande: 70.32 vs 87.5 (gpt4)-19.6%
GSM8K: 25.63 vs 96.4 (so35)-73.4%
LLME Score: 0.17198
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
CantoneseLLMChat Preview20240326 (hon9kon9ize/CantoneseLLMChat-preview20240326)
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CantoneseLLMChat Preview20240326 Parameters and Internals

Model Type 
Language Generation, Causal Language Model
Use Cases 
Areas:
Cantonese language understanding and generation
Limitations:
Might not be suitable for other Chinese languages, May contain bias and misinformation, Not suitable for informal or dialectal Cantonese
Additional Notes 
This is a preview version and will be deleted once the new version is released.
Supported Languages 
Cantonese (Fluent)
Training Details 
Data Sources:
Translated Hong Kong news, Wikipedia articles, Subtitles, Open-sourced dialogue corpora
Data Volume:
200 million tokens
Methodology:
Continual pretraining on Cantonese corpus
LLM NameCantoneseLLMChat Preview20240326
Repository 🤗https://huggingface.co/hon9kon9ize/CantoneseLLMChat-preview20240326 
Model Size6.1b
Required VRAM12.1 GB
Updated2025-09-23
Maintainerhon9kon9ize
Model Typellama
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   2.2 GB: 3-of-3
Model ArchitectureLlamaForCausalLM
Licensecc-by-nc-sa-4.0
Context Length4096
Model Max Length4096
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size65088
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than hon9kon9ize/CantoneseLLMChat-preview20240326.

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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