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NordicAlpaca Finnish V1 7B by mpasila

 »  All LLMs  »  mpasila  »  NordicAlpaca Finnish V1 7B   URL Share it on

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  Autotrain compatible Base model:finetune:hplt/gpt-7... Base model:hplt/gpt-7b-nordic-... Dataset:pinzhenchen/alpaca-cle...   Endpoints compatible   Fi   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/mpasila/NordicAlpaca-Finnish-V1-7B 

NordicAlpaca Finnish V1 7B Benchmarks

LLME Score: 0.17289
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
NordicAlpaca Finnish V1 7B (mpasila/NordicAlpaca-Finnish-V1-7B)

NordicAlpaca Finnish V1 7B Parameters and Internals

Model Type 
Instruct
Additional Notes 
Merged using a Colab notebook; quantization details mentioned. Not the optimal way for merging a quantized LoRA on a float16 model.
Supported Languages 
fi (fluent)
Training Details 
Data Sources:
pinzhenchen/alpaca-cleaned-fi
LLM NameNordicAlpaca Finnish V1 7B
Repository 🤗https://huggingface.co/mpasila/NordicAlpaca-Finnish-V1-7B 
Base Model(s)  GPT 7B Nordic Prerelease   HPLT/gpt-7b-nordic-prerelease
Model Size7b
Required VRAM15.1 GB
Updated2025-02-22
Maintainermpasila
Model Typellama
Model Files  4.9 GB: 1-of-4   5.0 GB: 2-of-4   4.1 GB: 3-of-4   1.1 GB: 4-of-4
Supported Languagesfi
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.38.2
Tokenizer ClassBloomTokenizer
Padding Token<pad>
Vocabulary Size131072
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than mpasila/NordicAlpaca-Finnish-V1-7B.

Rank the NordicAlpaca Finnish V1 7B 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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