CantoneseLLMChat Preview20240326 by hon9kon9ize

 ยป  All LLMs  ยป  hon9kon9ize  ยป  CantoneseLLMChat Preview20240326   URL Share it on

  Autotrain compatible   Conversational   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow   Yue

CantoneseLLMChat Preview20240326 Benchmarks

๐ŸŒŸ Advertise your project ๐Ÿš€

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 ๐Ÿค—https://huggingface.co/hon9kon9ize/CantoneseLLMChat-preview20240326 
Model Size6.1b
Required VRAM12.1 GB
Updated2025-06-09
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
CantoneseLLMChat Preview20240326 (hon9kon9ize/CantoneseLLMChat-preview20240326)

Best Alternatives to CantoneseLLMChat Preview20240326

Best Alternatives
Context / RAM
Downloads
Likes
CantoneseLLMChat V0.54K / 24.2 GB189
Open Lilm V24K / 24.2 GB162
Yi64K / 12.1 GB100
Carbide Tebet Loki4K / 12.1 GB120
Note: green Score (e.g. "73.2") means that the model is better than hon9kon9ize/CantoneseLLMChat-preview20240326.

Rank the CantoneseLLMChat Preview20240326 Capabilities

๐Ÿ†˜ 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! ๐ŸŒŸ

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  

What open-source LLMs or SLMs are you in search of? 48046 in total.

Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124