MELABench logo Leaderboard

A Maltese Evaluation Language Benchmark 🇲🇹

{
  • "headers": [
    • "T",
    • "Model",
    • "N-Shot",
    • "Version",
    • "Average (All) ⬆️",
    • "Average (NLU) 🧠",
    • "Average (NLG) ✍️",
    • "Sentiment Analysis (F1)",
    • "SIB200 (F1)",
    • "Taxi1500 (F1)",
    • "Maltese News Categories (F1)",
    • "MultiEURLEX (F1)",
    • "Belebele (Accuracy)",
    • "OPUS-100 EN→MT (BLEU)",
    • "OPUS-100 EN→MT (ChrF)",
    • "Flores-200 EN→MT (BLEU)",
    • "Flores-200 EN→MT (ChrF)",
    • "WebNLG (ChrF)",
    • "WebNLG (Rouge-L)",
    • "EUR-Lex-Sum (ChrF)",
    • "EUR-Lex-Sum (Rouge-L)",
    • "Maltese News Headlines (ChrF)",
    • "Maltese News Headlines (Rouge-L)",
    • "Type",
    • "Maltese Training",
    • "#Languages",
    • "Architecture",
    • "Precision",
    • "Hub License",
    • "#Params (B)",
    • "Hub ❤️",
    • "Available on the hub",
    • "Model SHA"
    ],
  • "data": [
    • [
      • "IT/IT",
      • "<a target="_blank" href="https://huggingface.co/CohereForAI/aya-101" style="color: var(--link-text-color); text-decoration: underline;text-decoration-style: dotted;">CohereForAI/aya-101</a>",
      • 0,
      • "1.0_english",
      • 36.05,
      • 47.39,
      • 24.71,
      • 78.13,
      • 50.2,
      • 29.52,
      • 31.46,
      • 18.48,
      • 76.56,
      • null,
      • null,
      • 19.51,
      • 52.26,
      • 36.04,
      • 32.27,
      • 8.21,
      • 7.68,
      • 30.58,
      • 27.59,
      • "instruction-tuned",
      • "instruction-tuning",
      • 101,
      • "T5ForConditionalGeneration",
      • "?",
      • "apache-2.0",
      • 12.92,
      • 662,
      • true,
      • "main"
      ],
    • [
      • "IT/PT",
      • "<a target="_blank" href="https://huggingface.co/bigscience/mt0-xxl" style="color: var(--link-text-color); text-decoration: underline;text-decoration-style: dotted;">bigscience/mt0-xxl</a>",
      • 0,
      • "1.0_english",
      • 35.1,
      • 48.41,
      • 21.79,
      • 78.55,
      • 54.18,
      • 21.67,
      • 36.07,
      • 18.31,
      • 81.67,
      • 7.77,
      • 28.28,
      • 3.28,
      • 25.01,
      • 25.68,
      • 26.17,
      • 3.79,
      • 3.16,
      • 27.35,
      • 26.8,
      • "instruction-tuned",
      • "pre-training",
      • 120,
      • "MT5ForConditionalGeneration",
      • "?",
      • "apache-2.0",
      • 13.95,
      • 60,
      • true,
      • "main"
      ],
    • [
      • "IT/PT",
      • "<a target="_blank" href="https://huggingface.co/bigscience/mt0-xxl" style="color: var(--link-text-color); text-decoration: underline;text-decoration-style: dotted;">bigscience/mt0-xxl</a>",
      • 0,
      • "1.0_maltese",
      • 34.83,
      • 46.3,
      • 23.35,
      • 77.63,
      • 50.82,
      • 13.94,
      • 35.37,
      • 18.16,
      • 81.89,
      • 12.48,
      • 35.85,
      • 6.09,
      • 33.27,
      • 17.3,
      • 22.5,
      • 3.31,
      • 2.7,
      • 27.75,
      • 27.64,
      • "instruction-tuned",
      • "pre-training",
      • 120,
      • "MT5ForConditionalGeneration",
      • "?",
      • "apache-2.0",
      • 13.95,
      • 60,
      • true,
      • "main"
      ],
    • [
      • "IT/IT",
      • "<a target="_blank" href="https://huggingface.co/CohereForAI/aya-101" style="color: var(--link-text-color); text-decoration: underline;text-decoration-style: dotted;">CohereForAI/aya-101</a>",
      • 0,
      • "1.0_maltese",
      • 29.33,
      • 33.56,
      • 25.09,
      • 55.26,
      • 36.15,
      • 4.2,
      • 18.81,
      • 14.25,
      • 72.67,
      • null,
      • null,
      • 19.7,
      • 53.12,
      • 38.12,
      • 33.61,
      • 5.09,
      • 5.48,
      • 32.81,
      • 28.75,
      • "instruction-tuned",
      • "instruction-tuning",
      • 101,
      • "T5ForConditionalGeneration",
      • "?",
      • "apache-2.0",
      • 12.92,
      • 662,
      • true,
      • "main"
      ],
    • [
      • "PT/PT",
      • "<a target="_blank" href="https://huggingface.co/BSC-LT/salamandra-7b-instruct" style="color: var(--link-text-color); text-decoration: underline;text-decoration-style: dotted;">BSC-LT/salamandra-7b-instruct</a>",
      • 0,
      • "1.0_english",
      • 29.1,
      • 41.56,
      • 16.64,
      • 73.4,
      • 53.24,
      • 15.07,
      • 26.92,
      • 11.74,
      • 69,
      • 9.11,
      • 39.35,
      • 5.52,
      • 41.61,
      • 2.12,
      • 2.59,
      • 0.2,
      • 0.1,
      • 0.03,
      • 0.02,
      • "pre-trained",
      • "pre-training",
      • 35,
      • "LlamaForCausalLM",
      • "?",
      • "apache-2.0",
      • 7.77,
      • 72,
      • true,
      • "main"
      ],
    • [
      • "IT/PT",
      • "<a target="_blank" href="https://huggingface.co/bigscience/mt0-xl" style="color: var(--link-text-color); text-decoration: underline;text-decoration-style: dotted;">bigscience/mt0-xl</a>",
      • 0,
      • "1.0_maltese",
      • 26.78,
      • 42.26,
      • 11.29,
      • 77.82,
      • 47.95,
      • 14.18,
      • 32.15,
      • 16.24,
      • 65.22,
      • null,
      • null,
      • 0.58,
      • 10.71,
      • 20.09,
      • 23.15,
      • 3.7,
      • 2.95,
      • 23.84,
      • 22.72,
      • "instruction-tuned",
      • "pre-training",
      • 120,
      • "MT5ForConditionalGeneration",
      • "?",
      • "apache-2.0",
      • 3.74,
      • 32,
      • true,
      • "main"
      ],
    • [
      • "IT/PT",
      • "<a target="_blank" href="https://huggingface.co/bigscience/mt0-xl" style="color: var(--link-text-color); text-decoration: underline;text-decoration-style: dotted;">bigscience/mt0-xl</a>",
      • 0,
      • "1.0_english",
      • 25.71,
      • 40.77,
      • 10.65,
      • 72.33,
      • 47.49,
      • 9.64,
      • 32.47,
      • 16.82,
      • 65.89,
      • null,
      • null,
      • 0.45,
      • 8.61,
      • 30.29,
      • 29.64,
      • 4.7,
      • 1.14,
      • 9.71,
      • 13.2,
      • "instruction-tuned",
      • "pre-training",
      • 120,
      • "MT5ForConditionalGeneration",
      • "?",
      • "apache-2.0",
      • 3.74,
      • 32,
      • true,
      • "main"
      ],
    • [
      • "PT/PT",
      • "<a target="_blank" href="https://huggingface.co/BSC-LT/salamandra-7b-instruct" style="color: var(--link-text-color); text-decoration: underline;text-decoration-style: dotted;">BSC-LT/salamandra-7b-instruct</a>",
      • 0,
      • "1.0_maltese",
      • 24.53,
      • 31.98,
      • 17.09,
      • 38.85,
      • 40.9,
      • 10.36,
      • 23.87,
      • 9.54,
      • 68.33,
      • 4.8,
      • 34.74,
      • 7.89,
      • 46.7,
      • 3.86,
      • 3.8,
      • 0.19,
      • 0.13,
      • 0.04,
      • 0.02,
      • "pre-trained",
      • "pre-training",
      • 35,
      • "LlamaForCausalLM",
      • "?",
      • "apache-2.0",
      • 7.77,
      • 72,
      • true,
      • "main"
      ],
    • [
      • "PT/?",
      • "<a target="_blank" href="https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct" style="color: var(--link-text-color); text-decoration: underline;text-decoration-style: dotted;">meta-llama/Meta-Llama-3-8B-Instruct</a>",
      • 0,
      • "1.0_english",
      • 23.13,
      • 30.71,
      • 15.54,
      • 37.17,
      • 43.61,
      • 16.49,
      • 21.99,
      • 13.18,
      • 51.85,
      • null,
      • null,
      • 8.8,
      • 39.85,
      • 12.59,
      • 6.52,
      • 1.01,
      • 1.08,
      • 31.68,
      • 24.16,
      • "pre-trained",
      • "unknown",
      • "?",
      • "LlamaForCausalLM",
      • "?",
      • "llama3",
      • 8.03,
      • 4315,
      • true,
      • "main"
      ],
    • [
      • "PT/?",
      • "<a target="_blank" href="https://huggingface.co/google/gemma-2-9b-it" style="color: var(--link-text-color); text-decoration: underline;text-decoration-style: dotted;">google/gemma-2-9b-it</a>",
      • 0,
      • "1.0_english",
      • 23.1,
      • 44.6,
      • 1.6,
      • 72.13,
      • 60.93,
      • 34.22,
      • null,
      • 16.43,
      • 83.89,
      • 0,
      • 0,
      • 0,
      • 0,
      • 8.01,
      • 6.34,
      • 0,
      • 0,
      • 0,
      • 0,
      • "pre-trained",
      • "unknown",
      • "?",
      • "Gemma2ForCausalLM",
      • "?",
      • "gemma",
      • 9.24,
      • 748,
      • true,
      • "main"
      ],
    • [
      • "IT/PT",
      • "<a target="_blank" href="https://huggingface.co/bigscience/mt0-large" style="color: var(--link-text-color); text-decoration: underline;text-decoration-style: dotted;">bigscience/mt0-large</a>",
      • 0,
      • "1.0_english",
      • 22.11,
      • 36.07,
      • 8.14,
      • 75.88,
      • 45.8,
      • 13.62,
      • 29.83,
      • 17.65,
      • 33.67,
      • null,
      • null,
      • 0.19,
      • 6.58,
      • 24.84,
      • 24.46,
      • 5.37,
      • 2.39,
      • 6.33,
      • 6.9,
      • "instruction-tuned",
      • "pre-training",
      • 120,
      • "MT5ForConditionalGeneration",
      • "?",
      • "apache-2.0",
      • 1.23,
      • 49,
      • true,
      • "main"
      ],
    • [
      • "IT/PT",
      • "<a target="_blank" href="https://huggingface.co/bigscience/mt0-large" style="color: var(--link-text-color); text-decoration: underline;text-decoration-style: dotted;">bigscience/mt0-large</a>",
      • 0,
      • "1.0_maltese",
      • 21.63,
      • 35.14,
      • 8.12,
      • 76.2,
      • 49.47,
      • 5.04,
      • 28.82,
      • 16.95,
      • 34.33,
      • null,
      • null,
      • 0.5,
      • 5.61,
      • 21.92,
      • 22.18,
      • 4.88,
      • 2.49,
      • 8.52,
      • 10.6,
      • "instruction-tuned",
      • "pre-training",
      • 120,
      • "MT5ForConditionalGeneration",
      • "?",
      • "apache-2.0",
      • 1.23,
      • 49,
      • true,
      • "main"
      ],
    • [
      • "PT/?",
      • "<a target="_blank" href="https://huggingface.co/google/gemma-2-9b-it" style="color: var(--link-text-color); text-decoration: underline;text-decoration-style: dotted;">google/gemma-2-9b-it</a>",
      • 0,
      • "1.0_maltese",
      • 20.82,
      • 40.39,
      • 1.25,
      • 80.71,
      • 31.18,
      • 11.89,
      • 21.46,
      • 11.89,
      • 85.22,
      • 0,
      • 0,
      • 0,
      • 0,
      • 6.27,
      • 4.95,
      • 0,
      • 0,
      • 0,
      • 0,
      • "pre-trained",
      • "unknown",
      • "?",
      • "Gemma2ForCausalLM",
      • "?",
      • "gemma",
      • 9.24,
      • 748,
      • true,
      • "main"
      ],
    • [
      • "PT/PT",
      • "<a target="_blank" href="https://huggingface.co/BSC-LT/salamandra-2b-instruct" style="color: var(--link-text-color); text-decoration: underline;text-decoration-style: dotted;">BSC-LT/salamandra-2b-instruct</a>",
      • 0,
      • "1.0_english",
      • 20.37,
      • 28.74,
      • 12,
      • 75.39,
      • 20.04,
      • 10.73,
      • 31.03,
      • 10.33,
      • 24.89,
      • 2.72,
      • 23.41,
      • 3.51,
      • 34.09,
      • 1.95,
      • 1.83,
      • 0,
      • 0,
      • 1.08,
      • 0.56,
      • "pre-trained",
      • "pre-training",
      • 35,
      • "LlamaForCausalLM",
      • "?",
      • "apache-2.0",
      • 2.25,
      • 25,
      • true,
      • "main"
      ],
    • [
      • "PT/PT",
      • "<a target="_blank" href="https://huggingface.co/utter-project/EuroLLM-1.7B-Instruct" style="color: var(--link-text-color); text-decoration: underline;text-decoration-style: dotted;">utter-project/EuroLLM-1.7B-Instruct</a>",
      • 0,
      • "1.0_english",
      • 20.12,
      • 18.39,
      • 21.85,
      • 27.97,
      • 13.99,
      • 4.23,
      • 26.32,
      • 13.73,
      • 24.11,
      • 9.2,
      • 37.04,
      • 15.73,
      • 51.08,
      • 11.71,
      • 5.74,
      • 0,
      • 0,
      • 16.42,
      • 9.44,
      • "pre-trained",
      • "pre-training",
      • 35,
      • "LlamaForCausalLM",
      • "?",
      • "apache-2.0",
      • 1.66,
      • 94,
      • true,
      • "main"
      ],
    • [
      • "PT/NO",
      • "<a target="_blank" href="https://huggingface.co/bigscience/bloomz-3b" style="color: var(--link-text-color); text-decoration: underline;text-decoration-style: dotted;">bigscience/bloomz-3b</a>",
      • 0,
      • "1.0_english",
      • 19.79,
      • 32.86,
      • 6.73,
      • 62.79,
      • 42.89,
      • 16.26,
      • 27.53,
      • 14.77,
      • 32.89,
      • null,
      • null,
      • 0.47,
      • 10.31,
      • 11.47,
      • 10.2,
      • 0.39,
      • 0.46,
      • 17.46,
      • 11.39,
      • "pre-trained",
      • "none",
      • 46,
      • "BloomForCausalLM",
      • "?",
      • "bigscience-bloom-rail-1.0",
      • 3,
      • 81,
      • true,
      • "main"
      ],
    • [
      • "PT/PT",
      • "<a target="_blank" href="https://huggingface.co/utter-project/EuroLLM-9B-Instruct" style="color: var(--link-text-color); text-decoration: underline;text-decoration-style: dotted;">utter-project/EuroLLM-9B-Instruct</a>",
      • 0,
      • "1.0_english",
      • 19.63,
      • 37.03,
      • 2.23,
      • 68.14,
      • 41.24,
      • 23.05,
      • 12.56,
      • 7.65,
      • 69.56,
      • 0,
      • 0,
      • 0,
      • 0,
      • 11.17,
      • 4.87,
      • 0,
      • 0,
      • 0,
      • 0,
      • "pre-trained",
      • "pre-training",
      • 35,
      • "LlamaForCausalLM",
      • "?",
      • "apache-2.0",
      • 9.15,
      • 190,
      • true,
      • "main"
      ],
    • [
      • "PT/NO",
      • "<a target="_blank" href="https://huggingface.co/bigscience/bloomz-7b1" style="color: var(--link-text-color); text-decoration: underline;text-decoration-style: dotted;">bigscience/bloomz-7b1</a>",
      • 0,
      • "1.0_english",
      • 19.48,
      • 32.81,
      • 6.15,
      • 56.39,
      • 48.77,
      • 21.22,
      • 27.4,
      • 14.22,
      • 28.89,
      • null,
      • null,
      • 0.97,
      • 13.68,
      • 5.34,
      • 4.55,
      • 0.81,
      • 1.09,
      • 16.78,
      • 10.66,
      • "pre-trained",
      • "none",
      • 46,
      • "BloomForCausalLM",
      • "?",
      • "bigscience-bloom-rail-1.0",
      • 7.07,
      • 146,
      • true,
      • "main"
      ],
    • [
      • "IT/PT",
      • "<a target="_blank" href="https://huggingface.co/bigscience/mt0-base" style="color: var(--link-text-color); text-decoration: underline;text-decoration-style: dotted;">bigscience/mt0-base</a>",
      • 0,
      • "1.0_english",
      • 19.12,
      • 31.9,
      • 6.34,
      • 66.26,
      • 43.09,
      • 5.9,
      • 33.82,
      • 13.44,
      • 28.89,
      • null,
      • null,
      • 0.2,
      • 5.33,
      • 21.1,
      • 21.33,
      • 2.63,
      • 0.38,
      • 4.17,
      • 4.89,
      • "instruction-tuned",
      • "pre-training",
      • 120,
      • "MT5ForConditionalGeneration",
      • "?",
      • "apache-2.0",
      • 0.58,
      • 32,
      • true,
      • "main"
      ],
    • [
      • "PT/?",
      • "<a target="_blank" href="https://huggingface.co/meta-llama/Meta-Llama-3-8B" style="color: var(--link-text-color); text-decoration: underline;text-decoration-style: dotted;">meta-llama/Meta-Llama-3-8B</a>",
      • 0,
      • "1.0_english",
      • 18.84,
      • 26.31,
      • 11.36,
      • 25.97,
      • 29.47,
      • 15.75,
      • 26.79,
      • 16.22,
      • 43.67,
      • 3.3,
      • 12.49,
      • 5.34,
      • 32.76,
      • 11.27,
      • 6,
      • 0,
      • 0,
      • 0.81,
      • 0.3,
      • "pre-trained",
      • "unknown",
      • "?",
      • "LlamaForCausalLM",
      • "?",
      • "llama3",
      • 8.03,
      • 6400,
      • true,
      • "main"
      ],
    • [
      • "IT/PT",
      • "<a target="_blank" href="https://huggingface.co/openGPT-X/Teuken-7B-instruct-research-v0.4" style="color: var(--link-text-color); text-decoration: underline;text-decoration-style: dotted;">openGPT-X/Teuken-7B-instruct-research-v0.4</a>",
      • 0,
      • "1.0_english",
      • 18.78,
      • 19.98,
      • 17.58,
      • 32.1,
      • 5.69,
      • 15.23,
      • 15.65,
      • 6.17,
      • 45.04,
      • 0.85,
      • 6.42,
      • 12.04,
      • 46.4,
      • 9.67,
      • 5.13,
      • 2.53,
      • 2.49,
      • 31.16,
      • 22.94,
      • "instruction-tuned",
      • "pre-training",
      • 24,
      • "LlamaForCausalLM",
      • "?",
      • "other",
      • 7.45,
      • 88,
      • true,
      • "main"
      ],
    • [
      • "PT/?",
      • "<a target="_blank" href="https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct" style="color: var(--link-text-color); text-decoration: underline;text-decoration-style: dotted;">meta-llama/Meta-Llama-3-8B-Instruct</a>",
      • 0,
      • "1.0_maltese",
      • 18.75,
      • 23.05,
      • 14.46,
      • 35.88,
      • 24.43,
      • 9.37,
      • 16.26,
      • 13.8,
      • 38.56,
      • null,
      • null,
      • 5.07,
      • 35.97,
      • 12.4,
      • 4.67,
      • 0.42,
      • 0.35,
      • 29.92,
      • 23.57,
      • "pre-trained",
      • "unknown",
      • "?",
      • "LlamaForCausalLM",
      • "?",
      • "llama3",
      • 8.03,
      • 4315,
      • true,
      • "main"
      ],
    • [
      • "IT/PT",
      • "<a target="_blank" href="https://huggingface.co/bigscience/mt0-base" style="color: var(--link-text-color); text-decoration: underline;text-decoration-style: dotted;">bigscience/mt0-base</a>",
      • 0,
      • "1.0_maltese",
      • 18.02,
      • 28.95,
      • 7.08,
      • 56.95,
      • 41.51,
      • 4.2,
      • 28.65,
      • 13.95,
      • 28.44,
      • null,
      • null,
      • 0.79,
      • 11.2,
      • 13.9,
      • 12.94,
      • 3.48,
      • 1.61,
      • 6.94,
      • 8.7,
      • "instruction-tuned",
      • "pre-training",
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