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--- |
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language: |
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- fi |
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base_model: LumiOpen/Viking-7B |
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license: apache-2.0 |
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datasets: |
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- mpasila/Alpacazord-V1 |
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--- |
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This is an ExLlamaV2 quantized model in 4bpw of [mpasila/Alpacazord-Viking-7B](https://huggingface.co/mpasila/Alpacazord-Viking-7B) using the default calibration dataset. |
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# Original Model card: |
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# Model Card for Alpacazord-Viking-7B |
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This is a merge of [mpasila/Alpacazord-Viking-LoRA-7B](https://huggingface.co/mpasila/Alpacazord-Viking-LoRA-7B/). |
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LoRA trained with text-generation-webui in 4-bit using [LumiOpen/Viking-7B](https://huggingface.co/LumiOpen/Viking-7B/) as the base model for 1 epoch. Dataset used with the LoRA is [mpasila/Alpacazord-V1](https://huggingface.co/datasets/mpasila/Alpacazord-V1/). |
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It uses Alpaca format like so: |
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``` |
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{ |
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"instruction,output": "Below is an instruction that describes a task. Write a response that appropriately completes the request.\n\n### Instruction:\n%instruction%\n\n### Response:\n%output%", |
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"instruction,input,output": "Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request.\n\n### Instruction:\n%instruction%\n\n### Input:\n%input%\n\n### Response:\n%output%" |
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} |
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``` |
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Merged using this [Colab notebook](https://colab.research.google.com/drive/1a76Y21GfPtmVs71Uztlgk2xzPA4_vVjs?usp=sharing). It might not be the best way to merge a quantized LoRA on to a float16 model but I just wanted to quickly do something. You can try merging it better if you want. |
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## Evaluation |
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| Model | Size | Type | FIN-bench (score) | |
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|-------|------|------|-------| |
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| **mpasila/Alpacazord-Viking-7B** | 7B | Instruct | | |
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| [mpasila/Finnish-Viking-Alpaca-V1-7B](https://huggingface.co/mpasila/Finnish-Viking-Alpaca-V1-7B) | 7B | Instruct | 0.3943 | |
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| [mpasila/NordicAlpaca-Finnish-V1-7B](https://huggingface.co/mpasila/NordicAlpaca-Finnish-V1-7B) | 7B | Instruct | 0.3891 | |
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| [Finnish-NLP/llama-7b-finnish-instruct-v0.1](https://huggingface.co/Finnish-NLP/llama-7b-finnish-instruct-v0.1) | 7B | Instruct | **0.4365** | |
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| [Finnish-NLP/llama-7b-finnish-instruct-v0.2](https://huggingface.co/Finnish-NLP/llama-7b-finnish-instruct-v0.2) | 7B | Instruct | 0.3993 | |
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| [Finnish-NLP/llama-7b-finnish](https://huggingface.co/Finnish-NLP/llama-7b-finnish) | 7B | Base | 0.2350 | |
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| [LumiOpen/Viking-7B (1000B)](https://huggingface.co/LumiOpen/Viking-7B) | 7B | Base | 0.3721 | |
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| [HPLT/gpt-7b-nordic-prerelease](https://huggingface.co/HPLT/gpt-7b-nordic-prerelease) | 7B | Base | 0.3169 | |
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[Source](https://docs.google.com/spreadsheets/d/1rqJb9dQVihg-Z1_Ras1L_-wuzPg9xNzpdmM2x5HueeY/edit?usp=sharing) |
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#### FIN-bench scores: |
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Will add later. And possibly other evals????? |
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### Framework versions |
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- PEFT 0.8.2 |
