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--- |
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language: |
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- pt |
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license: apache-2.0 |
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library_name: transformers |
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tags: |
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- text-generation-inference |
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- llama-cpp |
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- gguf-my-repo |
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datasets: |
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- TucanoBR/GigaVerbo |
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metrics: |
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- perplexity |
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pipeline_tag: text-generation |
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widget: |
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- text: A floresta da Amazônia é conhecida por sua |
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example_title: Exemplo |
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- text: Uma das coisas que Portugal, Angola, Brasil e Moçambique tem em comum é o |
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example_title: Exemplo |
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- text: O Carnaval do Rio de Janeiro é |
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example_title: Exemplo |
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inference: |
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parameters: |
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repetition_penalty: 1.2 |
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temperature: 0.2 |
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top_k: 20 |
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top_p: 0.2 |
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max_new_tokens: 150 |
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co2_eq_emissions: |
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emissions: 4475000 |
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source: CodeCarbon |
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training_type: pre-training |
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geographical_location: Germany |
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hardware_used: NVIDIA A100-SXM4-80GB |
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model-index: |
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- name: Tucano-2b4 |
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results: |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: CALAME-PT |
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type: NOVA-vision-language/calame-pt |
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split: all |
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args: |
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num_few_shot: 0 |
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metrics: |
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- type: acc |
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value: 59.06 |
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name: accuracy |
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source: |
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url: https://huggingface.co/datasets/NOVA-vision-language/calame-pt |
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name: Context-Aware LAnguage Modeling Evaluation for Portuguese |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: LAMBADA-PT |
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type: TucanoBR/lambada-pt |
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split: train |
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args: |
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num_few_shot: 0 |
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metrics: |
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- type: acc |
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value: 37.67 |
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name: accuracy |
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source: |
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url: https://huggingface.co/datasets/TucanoBR/lambada-pt |
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name: LAMBADA-PT |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: ENEM Challenge (No Images) |
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type: eduagarcia/enem_challenge |
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split: train |
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args: |
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num_few_shot: 3 |
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metrics: |
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- type: acc |
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value: 20.5 |
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name: accuracy |
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source: |
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url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard |
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name: Open Portuguese LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: BLUEX (No Images) |
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type: eduagarcia-temp/BLUEX_without_images |
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split: train |
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args: |
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num_few_shot: 3 |
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metrics: |
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- type: acc |
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value: 23.23 |
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name: accuracy |
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source: |
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url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard |
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name: Open Portuguese LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: OAB Exams |
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type: eduagarcia/oab_exams |
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split: train |
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args: |
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num_few_shot: 3 |
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metrics: |
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- type: acc |
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value: 25.47 |
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name: accuracy |
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source: |
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url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard |
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name: Open Portuguese LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: Assin2 RTE |
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type: assin2 |
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split: test |
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args: |
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num_few_shot: 15 |
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metrics: |
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- type: f1_macro |
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value: 56.27 |
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name: f1-macro |
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source: |
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url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard |
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name: Open Portuguese LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: Assin2 STS |
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type: eduagarcia/portuguese_benchmark |
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split: test |
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args: |
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num_few_shot: 10 |
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metrics: |
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- type: pearson |
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value: 1.93 |
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name: pearson |
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source: |
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url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard |
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name: Open Portuguese LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: FaQuAD NLI |
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type: ruanchaves/faquad-nli |
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split: test |
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args: |
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num_few_shot: 15 |
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metrics: |
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- type: f1_macro |
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value: 43.97 |
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name: f1-macro |
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source: |
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url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard |
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name: Open Portuguese LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: HateBR Binary |
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type: ruanchaves/hatebr |
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split: test |
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args: |
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num_few_shot: 25 |
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metrics: |
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- type: f1_macro |
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value: 29.49 |
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name: f1-macro |
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source: |
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url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard |
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name: Open Portuguese LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: PT Hate Speech Binary |
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type: hate_speech_portuguese |
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split: test |
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args: |
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num_few_shot: 25 |
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metrics: |
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- type: f1_macro |
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value: 41.98 |
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name: f1-macro |
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source: |
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url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard |
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name: Open Portuguese LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: tweetSentBR |
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type: eduagarcia-temp/tweetsentbr |
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split: test |
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args: |
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num_few_shot: 25 |
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metrics: |
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- type: f1_macro |
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value: 58.0 |
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name: f1-macro |
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source: |
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url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard |
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name: Open Portuguese LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: ARC-Challenge (PT) |
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type: arc_pt |
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args: |
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num_few_shot: 25 |
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metrics: |
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- type: acc_norm |
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value: 30.43 |
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name: normalized accuracy |
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source: |
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url: https://github.com/nlp-uoregon/mlmm-evaluation |
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name: Evaluation Framework for Multilingual Large Language Models |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: HellaSwag (PT) |
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type: hellaswag_pt |
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args: |
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num_few_shot: 10 |
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metrics: |
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- type: acc_norm |
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value: 47.17 |
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name: normalized accuracy |
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source: |
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url: https://github.com/nlp-uoregon/mlmm-evaluation |
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name: Evaluation Framework for Multilingual Large Language Models |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: TruthfulQA |
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type: truthfulqa_pt |
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args: |
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num_few_shot: 0 |
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metrics: |
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- type: mc2 |
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value: 39.3 |
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name: bleurt |
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source: |
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url: https://github.com/nlp-uoregon/mlmm-evaluation |
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name: Evaluation Framework for Multilingual Large Language Models |
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--- |
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|
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# noxinc/Tucano-2b4-Q4_K_M-GGUF |
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This model was converted to GGUF format from [`TucanoBR/Tucano-2b4`](https://huggingface.co/TucanoBR/Tucano-2b4) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space. |
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Refer to the [original model card](https://huggingface.co/TucanoBR/Tucano-2b4) for more details on the model. |
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## Use with llama.cpp |
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Install llama.cpp through brew. |
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```bash |
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brew install ggerganov/ggerganov/llama.cpp |
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``` |
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Invoke the llama.cpp server or the CLI. |
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CLI: |
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```bash |
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llama-cli --hf-repo noxinc/Tucano-2b4-Q4_K_M-GGUF --model tucano-2b4.Q4_K_M.gguf -p "The meaning to life and the universe is" |
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``` |
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Server: |
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```bash |
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llama-server --hf-repo noxinc/Tucano-2b4-Q4_K_M-GGUF --model tucano-2b4.Q4_K_M.gguf -c 2048 |
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``` |
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Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well. |
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|
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``` |
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git clone https://github.com/ggerganov/llama.cpp && cd llama.cpp && make && ./main -m tucano-2b4.Q4_K_M.gguf -n 128 |
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``` |
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