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Open Lilm V2 by 0xtaipoian

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  Autotrain compatible Base model:finetune:hon9kon9iz... Base model:hon9kon9ize/cantone...   Conversational   Endpoints compatible   Full   Generated from trainer   Llama   Llama-factory   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/0xtaipoian/open-lilm-v2 

Open Lilm V2 Benchmarks

LLME Score: 0.16866
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Open Lilm V2 (0xtaipoian/open-lilm-v2)
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Open Lilm V2 Parameters and Internals

Model Type 
text generation
Use Cases 
Primary Use Cases:
Research, Entertainment
Limitations:
Rude, violent, racist, and discriminative language present, Short comment generation
Additional Notes 
Model is not intended for production use due to the nature of content.
Training Details 
Data Sources:
LIHKG Dataset
Data Volume:
1,916,944 post and reply pairs
Methodology:
Filtered and scrapped data from LIHKG forum
Context Length:
2048
Training Time:
11 hours
Hardware Used:
8 NVIDIA H100 80GB HBM3 GPUs
Model Architecture:
Based on CantoneseLLMChat-v0.5, using LLaMA-Factory
Safety Evaluation 
Risk Categories:
violent content, racist content, discriminative content
Ethical Considerations:
Training data from online and anonymous forum, potentially inappropriate content.
LLM NameOpen Lilm V2
Repository 🤗https://huggingface.co/0xtaipoian/open-lilm-v2 
Base Model(s)  hon9kon9ize/CantoneseLLMChat-v0.5   hon9kon9ize/CantoneseLLMChat-v0.5
Model Size6.1b
Required VRAM24.2 GB
Updated2025-09-23
Maintainer0xtaipoian
Model Typellama
Model Files  4.9 GB: 1-of-5   4.8 GB: 2-of-5   4.8 GB: 3-of-5   4.8 GB: 4-of-5   4.9 GB: 5-of-5   0.0 GB
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.42.3
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size64960
Torch Data Typefloat32

Best Alternatives to Open Lilm V2

Best Alternatives
Context / RAM
Downloads
Likes
CantoneseLLMChat V0.54K / 24.2 GB59
...ntoneseLLMChat Preview202403264K / 12.1 GB512
Yi64K / 12.1 GB50
Carbide Tebet Loki4K / 12.1 GB50
Note: green Score (e.g. "73.2") means that the model is better than 0xtaipoian/open-lilm-v2.

Rank the Open Lilm V2 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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