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Legendary River Koalpaca by ahnyeonchan

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  Merged Model   Arxiv:2310.06694   Autotrain compatible   Endpoints compatible   Instruct   Instruction ft   Ko   Llama   Lora   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/ahnyeonchan/legendary-river-koalpaca 

Legendary River Koalpaca Benchmarks

LLME Score: 0.1817
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Legendary River Koalpaca (ahnyeonchan/legendary-river-koalpaca)

Legendary River Koalpaca Parameters and Internals

Model Type 
text generation
Additional Notes 
This model is remediated specifically for Korean language and built off a pruned, fine-tuned version of Sheared-LLaMA with reduced pre-training tokens.
Supported Languages 
Korean (High)
Training Details 
Data Sources:
Korean Wikipedia, Ko Alpaca
Methodology:
Finetuning with LoRa
Model Architecture:
Pruned and pre-trained from LLaMA2-7B
LLM NameLegendary River Koalpaca
Repository 🤗https://huggingface.co/ahnyeonchan/legendary-river-koalpaca 
Merged ModelYes
Model Size1.3b
Required VRAM5.7 GB
Updated2025-02-22
Maintainerahnyeonchan
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   0.7 GB: 2-of-2
Supported Languagesko
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.39.3
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size49579
LoRA ModelYes
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than ahnyeonchan/legendary-river-koalpaca.

Rank the Legendary River Koalpaca 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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Release v20241227
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