cnmoro_-_Mistral-7B-Portuguese-awq

Quantization made by Richard Erkhov.

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Mistral-7B-Portuguese - AWQ

• Model creator: https://huggingface.co/cnmoro/
• Original model: https://huggingface.co/cnmoro/Mistral-7B-Portuguese/

Original model description:

language:

• en
• pt datasets:
• cnmoro/WizardVicuna-PTBR-Instruct-Clean model-index:
• name: Mistral-7B-Portuguese results:
  • task: type: text-generation name: Text Generation dataset: name: ENEM Challenge (No Images) type: eduagarcia/enem_challenge split: train args: num_few_shot: 3 metrics:
    • type: acc value: 58.08 name: accuracy source: url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=cnmoro/Mistral-7B-Portuguese name: Open Portuguese LLM Leaderboard
  • task: type: text-generation name: Text Generation dataset: name: BLUEX (No Images) type: eduagarcia-temp/BLUEX_without_images split: train args: num_few_shot: 3 metrics:
    • type: acc value: 48.68 name: accuracy source: url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=cnmoro/Mistral-7B-Portuguese name: Open Portuguese LLM Leaderboard
  • task: type: text-generation name: Text Generation dataset: name: OAB Exams type: eduagarcia/oab_exams split: train args: num_few_shot: 3 metrics:
    • type: acc value: 37.08 name: accuracy source: url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=cnmoro/Mistral-7B-Portuguese name: Open Portuguese LLM Leaderboard
  • task: type: text-generation name: Text Generation dataset: name: Assin2 RTE type: assin2 split: test args: num_few_shot: 15 metrics:
    • type: f1_macro value: 90.31 name: f1-macro source: url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=cnmoro/Mistral-7B-Portuguese name: Open Portuguese LLM Leaderboard
  • task: type: text-generation name: Text Generation dataset: name: Assin2 STS type: eduagarcia/portuguese_benchmark split: test args: num_few_shot: 15 metrics:
    • type: pearson value: 76.55 name: pearson source: url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=cnmoro/Mistral-7B-Portuguese name: Open Portuguese LLM Leaderboard
  • task: type: text-generation name: Text Generation dataset: name: FaQuAD NLI type: ruanchaves/faquad-nli split: test args: num_few_shot: 15 metrics:
    • type: f1_macro value: 58.84 name: f1-macro source: url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=cnmoro/Mistral-7B-Portuguese name: Open Portuguese LLM Leaderboard
  • task: type: text-generation name: Text Generation dataset: name: HateBR Binary type: ruanchaves/hatebr split: test args: num_few_shot: 25 metrics:
    • type: f1_macro value: 79.21 name: f1-macro source: url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=cnmoro/Mistral-7B-Portuguese name: Open Portuguese LLM Leaderboard
  • task: type: text-generation name: Text Generation dataset: name: PT Hate Speech Binary type: hate_speech_portuguese split: test args: num_few_shot: 25 metrics:
    • type: f1_macro value: 68.87 name: f1-macro source: url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=cnmoro/Mistral-7B-Portuguese name: Open Portuguese LLM Leaderboard
  • task: type: text-generation name: Text Generation dataset: name: tweetSentBR type: eduagarcia-temp/tweetsentbr split: test args: num_few_shot: 25 metrics:
    • type: f1_macro value: 64.71 name: f1-macro source: url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=cnmoro/Mistral-7B-Portuguese name: Open Portuguese LLM Leaderboard

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This is a finetuned version of mistralai/Mistral-7B-Instruct-v0.2 using unsloth on a instruct portuguese dataset, as an attempt to improve the performance of the model on the language.

No benchmarks have been executed yet.

The original prompt format was used:

<s>[INST] {Prompt goes here} [/INST]

Open Portuguese LLM Leaderboard Evaluation Results

Detailed results can be found here