Text Generation
Transformers
Safetensors
Portuguese
llama
text-generation-inference
Eval Results (legacy)
Instructions to use Polygl0t/Tucano2-0.6B-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Polygl0t/Tucano2-0.6B-Base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Polygl0t/Tucano2-0.6B-Base")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Polygl0t/Tucano2-0.6B-Base") model = AutoModelForCausalLM.from_pretrained("Polygl0t/Tucano2-0.6B-Base") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use Polygl0t/Tucano2-0.6B-Base with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Polygl0t/Tucano2-0.6B-Base" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Polygl0t/Tucano2-0.6B-Base", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Polygl0t/Tucano2-0.6B-Base
- SGLang
How to use Polygl0t/Tucano2-0.6B-Base with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "Polygl0t/Tucano2-0.6B-Base" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Polygl0t/Tucano2-0.6B-Base", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "Polygl0t/Tucano2-0.6B-Base" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Polygl0t/Tucano2-0.6B-Base", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Polygl0t/Tucano2-0.6B-Base with Docker Model Runner:
docker model run hf.co/Polygl0t/Tucano2-0.6B-Base
| evaluations: | |
| arc_challenge_poly_pt_acc: 0.33247863247863246 | |
| arc_challenge_poly_pt_acc_norm: 0.3700854700854701 | |
| arc_challenge_poly_pt_acc_norm_stderr: 0.014121621753736067 | |
| arc_challenge_poly_pt_acc_stderr: 0.013778666871508503 | |
| arc_challenge_poly_pt_alias: arc_challenge_poly_pt | |
| assin2_rte_acc,all: 0.5130718954248366 | |
| assin2_rte_acc_stderr,all: 0.007136287055837267 | |
| assin2_rte_alias: assin2_rte | |
| assin2_rte_f1_macro,all: 0.36891442630353705 | |
| assin2_rte_f1_macro_stderr,all: 0.004995590407601964 | |
| assin2_sts_alias: assin2_sts | |
| assin2_sts_mse,all: 1.6449387254901962 | |
| assin2_sts_mse_stderr,all: N/A | |
| assin2_sts_pearson,all: 0.10122529198593108 | |
| assin2_sts_pearson_stderr,all: 0.013509459447594846 | |
| assin_entailment_acc: 0.66825 | |
| assin_entailment_acc_stderr: 0.0074455922253301296 | |
| assin_entailment_alias: assin_entailment | |
| assin_paraphrase_acc: 0.68 | |
| assin_paraphrase_acc_stderr: 0.00737655769318252 | |
| assin_paraphrase_alias: assin_paraphrase | |
| belebele_por_Latn_acc: 0.26222222222222225 | |
| belebele_por_Latn_acc_norm: 0.26222222222222225 | |
| belebele_por_Latn_acc_norm_stderr: 0.014669580202217824 | |
| belebele_por_Latn_acc_stderr: 0.014669580202217824 | |
| belebele_por_Latn_alias: belebele_por_Latn | |
| bluex_acc,all: 0.2114047287899861 | |
| bluex_acc,exam_id__UNICAMP_2018: 0.2222222222222222 | |
| bluex_acc,exam_id__UNICAMP_2019: 0.12 | |
| bluex_acc,exam_id__UNICAMP_2020: 0.2545454545454545 | |
| bluex_acc,exam_id__UNICAMP_2021_1: 0.34782608695652173 | |
| bluex_acc,exam_id__UNICAMP_2021_2: 0.21568627450980393 | |
| bluex_acc,exam_id__UNICAMP_2022: 0.3076923076923077 | |
| bluex_acc,exam_id__UNICAMP_2023: 0.3023255813953488 | |
| bluex_acc,exam_id__UNICAMP_2024: 0.2222222222222222 | |
| bluex_acc,exam_id__USP_2018: 0.14814814814814814 | |
| bluex_acc,exam_id__USP_2019: 0.25 | |
| bluex_acc,exam_id__USP_2020: 0.21428571428571427 | |
| bluex_acc,exam_id__USP_2021: 0.21153846153846154 | |
| bluex_acc,exam_id__USP_2022: 0.12244897959183673 | |
| bluex_acc,exam_id__USP_2023: 0.11363636363636363 | |
| bluex_acc,exam_id__USP_2024: 0.14634146341463414 | |
| bluex_acc_stderr,all: 0.008792062892074834 | |
| bluex_acc_stderr,exam_id__UNICAMP_2018: 0.032678043004061255 | |
| bluex_acc_stderr,exam_id__UNICAMP_2019: 0.02657623294954054 | |
| bluex_acc_stderr,exam_id__UNICAMP_2020: 0.03387860333526782 | |
| bluex_acc_stderr,exam_id__UNICAMP_2021_1: 0.040525589885644496 | |
| bluex_acc_stderr,exam_id__UNICAMP_2021_2: 0.033227440336532375 | |
| bluex_acc_stderr,exam_id__UNICAMP_2022: 0.04256832900072988 | |
| bluex_acc_stderr,exam_id__UNICAMP_2023: 0.04033585396483944 | |
| bluex_acc_stderr,exam_id__UNICAMP_2024: 0.035722618677772114 | |
| bluex_acc_stderr,exam_id__USP_2018: 0.02788267879417696 | |
| bluex_acc_stderr,exam_id__USP_2019: 0.03952518565922328 | |
| bluex_acc_stderr,exam_id__USP_2020: 0.03163824199119833 | |
| bluex_acc_stderr,exam_id__USP_2021: 0.03275051381208595 | |
| bluex_acc_stderr,exam_id__USP_2022: 0.027021164094854087 | |
| bluex_acc_stderr,exam_id__USP_2023: 0.02764738708665832 | |
| bluex_acc_stderr,exam_id__USP_2024: 0.031931812220256435 | |
| bluex_alias: bluex | |
| calame_pt_acc: 0.5761078998073218 | |
| calame_pt_acc_stderr: 0.010848520804992096 | |
| calame_pt_alias: calame_pt | |
| calame_pt_perplexity: 7.505161823615618 | |
| calame_pt_perplexity_stderr: 0.44787132592301543 | |
| enem_challenge_acc,all: 0.2358292512246326 | |
| enem_challenge_acc,exam_id__2009: 0.19130434782608696 | |
| enem_challenge_acc,exam_id__2010: 0.20512820512820512 | |
| enem_challenge_acc,exam_id__2011: 0.2564102564102564 | |
| enem_challenge_acc,exam_id__2012: 0.20689655172413793 | |
| enem_challenge_acc,exam_id__2013: 0.3055555555555556 | |
| enem_challenge_acc,exam_id__2014: 0.22935779816513763 | |
| enem_challenge_acc,exam_id__2015: 0.19327731092436976 | |
| enem_challenge_acc,exam_id__2016: 0.24793388429752067 | |
| enem_challenge_acc,exam_id__2016_2: 0.2601626016260163 | |
| enem_challenge_acc,exam_id__2017: 0.2413793103448276 | |
| enem_challenge_acc,exam_id__2022: 0.2556390977443609 | |
| enem_challenge_acc,exam_id__2023: 0.23703703703703705 | |
| enem_challenge_acc_stderr,all: 0.006488970481818106 | |
| enem_challenge_acc_stderr,exam_id__2009: 0.021162122076564756 | |
| enem_challenge_acc_stderr,exam_id__2010: 0.02161251982325149 | |
| enem_challenge_acc_stderr,exam_id__2011: 0.02328408263989128 | |
| enem_challenge_acc_stderr,exam_id__2012: 0.02169743606814018 | |
| enem_challenge_acc_stderr,exam_id__2013: 0.02555190327825207 | |
| enem_challenge_acc_stderr,exam_id__2014: 0.023214349368781237 | |
| enem_challenge_acc_stderr,exam_id__2015: 0.020916129450196143 | |
| enem_challenge_acc_stderr,exam_id__2016: 0.022637164962996188 | |
| enem_challenge_acc_stderr,exam_id__2016_2: 0.02291364100620369 | |
| enem_challenge_acc_stderr,exam_id__2017: 0.022839835315721715 | |
| enem_challenge_acc_stderr,exam_id__2022: 0.021748044233065218 | |
| enem_challenge_acc_stderr,exam_id__2023: 0.021173762287121492 | |
| enem_challenge_alias: enem | |
| faquad_nli_acc,all: 0.7846153846153846 | |
| faquad_nli_acc_stderr,all: 0.011396120309131366 | |
| faquad_nli_alias: faquad_nli | |
| faquad_nli_f1_macro,all: 0.4396551724137931 | |
| faquad_nli_f1_macro_stderr,all: 0.00357969847290883 | |
| global_piqa_completions_por_latn_braz_acc: 0.76 | |
| global_piqa_completions_por_latn_braz_acc_bytes: 0.81 | |
| global_piqa_completions_por_latn_braz_acc_bytes_stderr: 0.039427724440366255 | |
| global_piqa_completions_por_latn_braz_acc_norm: 0.79 | |
| global_piqa_completions_por_latn_braz_acc_norm_stderr: 0.040936018074033236 | |
| global_piqa_completions_por_latn_braz_acc_stderr: 0.04292346959909278 | |
| global_piqa_completions_por_latn_braz_alias: global_piqa_completions_por_latn_braz | |
| hatebr_offensive_acc,all: 0.4992857142857143 | |
| hatebr_offensive_acc_stderr,all: 0.00947482206123735 | |
| hatebr_offensive_alias: hatebr_offensive_binary | |
| hatebr_offensive_f1_macro,all: 0.3330157217722725 | |
| hatebr_offensive_f1_macro_stderr,all: 0.004215753402721677 | |
| hellaswag_poly_pt_acc: 0.3724130458337848 | |
| hellaswag_poly_pt_acc_norm: 0.4774081698992307 | |
| hellaswag_poly_pt_acc_norm_stderr: 0.005199629971795624 | |
| hellaswag_poly_pt_acc_stderr: 0.005032636971394432 | |
| hellaswag_poly_pt_alias: hellaswag_poly_pt | |
| lambada_poly_pt_acc: 0.39452745973219483 | |
| lambada_poly_pt_acc_stderr: 0.006809228632878824 | |
| lambada_poly_pt_alias: lambada_poly_pt | |
| lambada_poly_pt_perplexity: 20.301981926552738 | |
| lambada_poly_pt_perplexity_stderr: 0.7092062816226157 | |
| mmlu_poly_pt_acc: 0.2718402882017412 | |
| mmlu_poly_pt_acc_stderr: 0.003854510385561605 | |
| mmlu_poly_pt_alias: mmlu_poly_pt | |
| oab_exams_acc,all: 0.23280182232346242 | |
| oab_exams_acc,exam_id__2010-01: 0.25882352941176473 | |
| oab_exams_acc,exam_id__2010-02: 0.25 | |
| oab_exams_acc,exam_id__2011-03: 0.25252525252525254 | |
| oab_exams_acc,exam_id__2011-04: 0.275 | |
| oab_exams_acc,exam_id__2011-05: 0.25 | |
| oab_exams_acc,exam_id__2012-06: 0.2375 | |
| oab_exams_acc,exam_id__2012-06a: 0.25 | |
| oab_exams_acc,exam_id__2012-07: 0.15 | |
| oab_exams_acc,exam_id__2012-08: 0.2375 | |
| oab_exams_acc,exam_id__2012-09: 0.23376623376623376 | |
| oab_exams_acc,exam_id__2013-10: 0.2125 | |
| oab_exams_acc,exam_id__2013-11: 0.1875 | |
| oab_exams_acc,exam_id__2013-12: 0.1875 | |
| oab_exams_acc,exam_id__2014-13: 0.2125 | |
| oab_exams_acc,exam_id__2014-14: 0.275 | |
| oab_exams_acc,exam_id__2014-15: 0.21794871794871795 | |
| oab_exams_acc,exam_id__2015-16: 0.225 | |
| oab_exams_acc,exam_id__2015-17: 0.24358974358974358 | |
| oab_exams_acc,exam_id__2015-18: 0.2375 | |
| oab_exams_acc,exam_id__2016-19: 0.20512820512820512 | |
| oab_exams_acc,exam_id__2016-20: 0.2375 | |
| oab_exams_acc,exam_id__2016-20a: 0.275 | |
| oab_exams_acc,exam_id__2016-21: 0.2 | |
| oab_exams_acc,exam_id__2017-22: 0.2375 | |
| oab_exams_acc,exam_id__2017-23: 0.2125 | |
| oab_exams_acc,exam_id__2017-24: 0.225 | |
| oab_exams_acc,exam_id__2018-25: 0.2875 | |
| oab_exams_acc_stderr,all: 0.005211375619176454 | |
| oab_exams_acc_stderr,exam_id__2010-01: 0.027439944269300902 | |
| oab_exams_acc_stderr,exam_id__2010-02: 0.024999054164627513 | |
| oab_exams_acc_stderr,exam_id__2011-03: 0.02513759836912599 | |
| oab_exams_acc_stderr,exam_id__2011-04: 0.028842769768432266 | |
| oab_exams_acc_stderr,exam_id__2011-05: 0.027803429899727953 | |
| oab_exams_acc_stderr,exam_id__2012-06: 0.027511514707501687 | |
| oab_exams_acc_stderr,exam_id__2012-06a: 0.027969270060875333 | |
| oab_exams_acc_stderr,exam_id__2012-07: 0.022965539047482306 | |
| oab_exams_acc_stderr,exam_id__2012-08: 0.02739801259080428 | |
| oab_exams_acc_stderr,exam_id__2012-09: 0.027845780352732368 | |
| oab_exams_acc_stderr,exam_id__2013-10: 0.02636327356327225 | |
| oab_exams_acc_stderr,exam_id__2013-11: 0.025163741964027368 | |
| oab_exams_acc_stderr,exam_id__2013-12: 0.025170557738075854 | |
| oab_exams_acc_stderr,exam_id__2014-13: 0.026432573121099534 | |
| oab_exams_acc_stderr,exam_id__2014-14: 0.028840484584019492 | |
| oab_exams_acc_stderr,exam_id__2014-15: 0.02693219019792365 | |
| oab_exams_acc_stderr,exam_id__2015-16: 0.026872817692190045 | |
| oab_exams_acc_stderr,exam_id__2015-17: 0.028004812947648394 | |
| oab_exams_acc_stderr,exam_id__2015-18: 0.027398518414074452 | |
| oab_exams_acc_stderr,exam_id__2016-19: 0.026437389551520193 | |
| oab_exams_acc_stderr,exam_id__2016-20: 0.02754894506133313 | |
| oab_exams_acc_stderr,exam_id__2016-20a: 0.02874922000308674 | |
| oab_exams_acc_stderr,exam_id__2016-21: 0.025822372019185823 | |
| oab_exams_acc_stderr,exam_id__2017-22: 0.027404924686794917 | |
| oab_exams_acc_stderr,exam_id__2017-23: 0.026461647581670692 | |
| oab_exams_acc_stderr,exam_id__2017-24: 0.026969863667221566 | |
| oab_exams_acc_stderr,exam_id__2018-25: 0.029244778204497373 | |
| oab_exams_alias: oab_exams | |
| portuguese_hate_speech_acc,all: 0.6439482961222092 | |
| portuguese_hate_speech_acc_stderr,all: 0.01158607666681163 | |
| portuguese_hate_speech_alias: portuguese_hate_speech_binary | |
| portuguese_hate_speech_f1_macro,all: 0.44683000920330285 | |
| portuguese_hate_speech_f1_macro_stderr,all: 0.010246030132924607 | |
| tweetsentbr_acc,all: 0.2880597014925373 | |
| tweetsentbr_acc_stderr,all: 0.007133180251905251 | |
| tweetsentbr_alias: tweetsentbr | |
| tweetsentbr_f1_macro,all: 0.20570459469384028 | |
| tweetsentbr_f1_macro_stderr,all: 0.0054860743968753725 | |
| step: 195000 | |