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normistral-11b-warm

Text Generation
Transformers
PyTorch
Safetensors
mistral
norwegian
sami
bokmaal
nynorsk
text-generation-inference
Inference Endpoints
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@@ -32,6 +32,6 @@ continuously pretrained on a total of 260 billion subword tokens -- using a mix
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  This model uses a new tokenizer, specially trained on the target languages. Therefore it offers substantially faster inference than the original Mistral-Nemo-Base-2407 model. Here are the subword-to-word split ratios across different languages:
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  | Tokenizer | # tokens | Bokmål | Nynorsk | Sámi | Danish | Swedish |
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- |:------------|--------|--------|---------|-------|--------|---------|
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  | Mistral-Nemo-Base-2407 | 131072 | 1.79 | 1.87 | 2.63 | 1.82 | 2.00 |
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  | NorMistral-11b-warm | 51200 | 1.22 | 1.28 | 1.82 | 1.33 | 1.39 |
 
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  This model uses a new tokenizer, specially trained on the target languages. Therefore it offers substantially faster inference than the original Mistral-Nemo-Base-2407 model. Here are the subword-to-word split ratios across different languages:
33
 
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  | Tokenizer | # tokens | Bokmål | Nynorsk | Sámi | Danish | Swedish |
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+ |:------------|:--------:|:--------:|:---------:|:-------:|:--------:|:---------:|
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  | Mistral-Nemo-Base-2407 | 131072 | 1.79 | 1.87 | 2.63 | 1.82 | 2.00 |
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  | NorMistral-11b-warm | 51200 | 1.22 | 1.28 | 1.82 | 1.33 | 1.39 |