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Yunsung Llama 2 Koen 13B Linkbricks Sft Basic V1 by Saxo

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  Autotrain compatible   Conversational   Dataset:beomi/koalpaca-v1.1a Dataset:kyujinpy/kor-openorca-... Dataset:nlpai-lab/databricks-d... Dataset:saxo/total ko train se...   En   Endpoints compatible   Ko   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Saxo/yunsung-llama-2-koen-13b-linkbricks-sft-basic-v1 

Yunsung Llama 2 Koen 13B Linkbricks Sft Basic V1 Benchmarks

LLME Score: 0.19432
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Yunsung Llama 2 Koen 13B Linkbricks Sft Basic V1 (Saxo/yunsung-llama-2-koen-13b-linkbricks-sft-basic-v1)

Yunsung Llama 2 Koen 13B Linkbricks Sft Basic V1 Parameters and Internals

Model Type 
text-generation
Additional Notes 
Flash Attention is disabled. The model uses peft, quantization 'int4', and LoRA (r=64, alpha=16, dropout=0.1).
Supported Languages 
ko (Korean), en (English)
Training Details 
Data Sources:
Saxo/total_ko_train_set_small_basic, beomi/KoAlpaca-v1.1a, kyujinpy/KOR-OpenOrca-Platypus-v2, nlpai-lab/databricks-dolly-15k-ko
Methodology:
Instructional training using SFT (Supervised Fine-tuning)
Context Length:
2048
Training Time:
4 hours
Hardware Used:
4 A100-40Gs on GCP
Input Output 
Input Format:
Alpaca Format Prompt Text
LLM NameYunsung Llama 2 Koen 13B Linkbricks Sft Basic V1
Repository 🤗https://huggingface.co/Saxo/yunsung-llama-2-koen-13b-linkbricks-sft-basic-v1 
Model Size13b
Required VRAM26.3 GB
Updated2025-03-19
MaintainerSaxo
Model Typellama
Model Files  5.0 GB: 1-of-6   4.9 GB: 2-of-6   4.9 GB: 3-of-6   4.9 GB: 4-of-6   5.0 GB: 5-of-6   1.6 GB: 6-of-6
Supported Languagesko en
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size46336
Torch Data Typebfloat16

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Rank the Yunsung Llama 2 Koen 13B Linkbricks Sft Basic V1 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  
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Multi-Language Support and Translation  

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