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Ko Gemma 2B Lora Lbox Ljp Modified by outspark

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  Autotrain compatible   Endpoints compatible   Gemma   Korean   Lbox   Legal   Lora   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/outspark/ko-gemma-2b-lora-lbox-ljp-modified 

Ko Gemma 2B Lora Lbox Ljp Modified Benchmarks

LLME Score: 0.20847
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Ko Gemma 2B Lora Lbox Ljp Modified (outspark/ko-gemma-2b-lora-lbox-ljp-modified)

Ko Gemma 2B Lora Lbox Ljp Modified Parameters and Internals

Model Type 
text generation
Training Details 
Data Sources:
lbox/lbox_open, ljp_criminal
Methodology:
LoRA-finetuning by merging `facts` fields with `ruling.text` to enhance legal text understanding
Context Length:
4096
Hardware Used:
two A100 GPUs
LLM NameKo Gemma 2B Lora Lbox Ljp Modified
Repository 🤗https://huggingface.co/outspark/ko-gemma-2b-lora-lbox-ljp-modified 
Model Size2b
Required VRAM10 GB
Updated2024-12-22
Maintaineroutspark
Model Files  0.1 GB   4.9 GB: 1-of-3   5.0 GB: 2-of-3   0.1 GB: 3-of-3
Model ArchitectureAutoModelForCausalLM
Is Biasednone
Tokenizer ClassGemmaTokenizer
Padding Token<eos>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesk_proj|down_proj|gate_proj|up_proj|o_proj|v_proj|q_proj
LoRA Alpha32
LoRA Dropout0.05
R Param16

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Note: green Score (e.g. "73.2") means that the model is better than outspark/ko-gemma-2b-lora-lbox-ljp-modified.

Rank the Ko Gemma 2B Lora Lbox Ljp Modified 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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Release v20241217
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