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EuroLLM-1.7B

Text Generation
Transformers
PyTorch
llama
text-generation-inference
Inference Endpoints
Model card Files Community
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@@ -143,4 +143,8 @@ Results show that EuroLLM-1.7B is superior to TinyLlama-v1.1 and similar to Gemm
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  |--------------------|---------|---------|--------|---------|--------|---------|------------|---------|--------|--------|---------|--------|-----------|----------|-----------|--------|---------|
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  | EuroLLM-1.7B | 0.4744 | 0.6084 | 0.4772 | 0.5310 | 0.5260 | 0.5067 | 0.5206 | 0.4674 | 0.4893 | 0.4075 | 0.4813 | 0.3605 | 0.4067 | 0.4598 | 0.4368 | 0.4700 | 0.4405 |
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  | TinyLlama-v1.1 |0.3674 | 0.6248 | 0.3650 | 0.4137 | 0.4010 | 0.3780 | 0.3892 | 0.3494 | 0.3588 | 0.2880 | 0.3561 | 0.2841 | 0.3073 | 0.3267 | 0.3349 | 0.3408 | 0.3613 |
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- | Gemma-2B |0.4666 | 0.7165 | 0.4756 | 0.5414 | 0.5180 | 0.4841 | 0.5081 | 0.4664 | 0.4655 | 0.3868 | 0.4383 | 0.3413 | 0.3710 | 0.4316 | 0.4291 | 0.4471 | 0.4448 |
 
 
 
 
 
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  |--------------------|---------|---------|--------|---------|--------|---------|------------|---------|--------|--------|---------|--------|-----------|----------|-----------|--------|---------|
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  | EuroLLM-1.7B | 0.4744 | 0.6084 | 0.4772 | 0.5310 | 0.5260 | 0.5067 | 0.5206 | 0.4674 | 0.4893 | 0.4075 | 0.4813 | 0.3605 | 0.4067 | 0.4598 | 0.4368 | 0.4700 | 0.4405 |
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  | TinyLlama-v1.1 |0.3674 | 0.6248 | 0.3650 | 0.4137 | 0.4010 | 0.3780 | 0.3892 | 0.3494 | 0.3588 | 0.2880 | 0.3561 | 0.2841 | 0.3073 | 0.3267 | 0.3349 | 0.3408 | 0.3613 |
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+ | Gemma-2B |0.4666 | 0.7165 | 0.4756 | 0.5414 | 0.5180 | 0.4841 | 0.5081 | 0.4664 | 0.4655 | 0.3868 | 0.4383 | 0.3413 | 0.3710 | 0.4316 | 0.4291 | 0.4471 | 0.4448 |
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+ ## Bias, Risks, and Limitations
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+ EuroLLM-1.7B has not been aligned to human preferences, so the model may generate problematic outputs (e.g., hallucinations, harmful content, or false statements).