---
language:
- pt
license: apache-2.0
library_name: transformers
tags:
- text-generation-inference
- llama-cpp
- gguf-my-repo
datasets:
- TucanoBR/GigaVerbo
metrics:
- perplexity
pipeline_tag: text-generation
widget:
- text: A floresta da Amazônia é conhecida por sua
  example_title: Exemplo
- text: Uma das coisas que Portugal, Angola, Brasil e Moçambique tem em comum é o
  example_title: Exemplo
- text: O Carnaval do Rio de Janeiro é
  example_title: Exemplo
inference:
  parameters:
    repetition_penalty: 1.2
    temperature: 0.2
    top_k: 20
    top_p: 0.2
    max_new_tokens: 150
co2_eq_emissions:
  emissions: 4475000
  source: CodeCarbon
  training_type: pre-training
  geographical_location: Germany
  hardware_used: NVIDIA A100-SXM4-80GB
model-index:
- name: Tucano-2b4
  results:
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: CALAME-PT
      type: NOVA-vision-language/calame-pt
      split: all
      args:
        num_few_shot: 0
    metrics:
    - type: acc
      value: 59.06
      name: accuracy
    source:
      url: https://huggingface.co/datasets/NOVA-vision-language/calame-pt
      name: Context-Aware LAnguage Modeling Evaluation for Portuguese
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: LAMBADA-PT
      type: TucanoBR/lambada-pt
      split: train
      args:
        num_few_shot: 0
    metrics:
    - type: acc
      value: 37.67
      name: accuracy
    source:
      url: https://huggingface.co/datasets/TucanoBR/lambada-pt
      name: LAMBADA-PT
  - 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: 20.5
      name: accuracy
    source:
      url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard
      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: 23.23
      name: accuracy
    source:
      url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard
      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: 25.47
      name: accuracy
    source:
      url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard
      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: 56.27
      name: f1-macro
    source:
      url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard
      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: 10
    metrics:
    - type: pearson
      value: 1.93
      name: pearson
    source:
      url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard
      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: 43.97
      name: f1-macro
    source:
      url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard
      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: 29.49
      name: f1-macro
    source:
      url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard
      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: 41.98
      name: f1-macro
    source:
      url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard
      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: 58.0
      name: f1-macro
    source:
      url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard
      name: Open Portuguese LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: ARC-Challenge (PT)
      type: arc_pt
      args:
        num_few_shot: 25
    metrics:
    - type: acc_norm
      value: 30.43
      name: normalized accuracy
    source:
      url: https://github.com/nlp-uoregon/mlmm-evaluation
      name: Evaluation Framework for Multilingual Large Language Models
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: HellaSwag (PT)
      type: hellaswag_pt
      args:
        num_few_shot: 10
    metrics:
    - type: acc_norm
      value: 47.17
      name: normalized accuracy
    source:
      url: https://github.com/nlp-uoregon/mlmm-evaluation
      name: Evaluation Framework for Multilingual Large Language Models
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: TruthfulQA
      type: truthfulqa_pt
      args:
        num_few_shot: 0
    metrics:
    - type: mc2
      value: 39.3
      name: bleurt
    source:
      url: https://github.com/nlp-uoregon/mlmm-evaluation
      name: Evaluation Framework for Multilingual Large Language Models
---

# noxinc/Tucano-2b4-Q4_K_M-GGUF
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.
Refer to the [original model card](https://huggingface.co/TucanoBR/Tucano-2b4) for more details on the model.
## Use with llama.cpp

Install llama.cpp through brew.

```bash
brew install ggerganov/ggerganov/llama.cpp
```
Invoke the llama.cpp server or the CLI.

CLI:

```bash
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"
```

Server:

```bash
llama-server --hf-repo noxinc/Tucano-2b4-Q4_K_M-GGUF --model tucano-2b4.Q4_K_M.gguf -c 2048
```

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.

```
git clone https://github.com/ggerganov/llama.cpp &&             cd llama.cpp &&             make &&             ./main -m tucano-2b4.Q4_K_M.gguf -n 128
```