Instructions to use Polygl0t/Tucano2-qwen-3.7B-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Polygl0t/Tucano2-qwen-3.7B-Base with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="Polygl0t/Tucano2-qwen-3.7B-Base")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Polygl0t/Tucano2-qwen-3.7B-Base")
model = AutoModelForCausalLM.from_pretrained("Polygl0t/Tucano2-qwen-3.7B-Base")

Inference
Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use Polygl0t/Tucano2-qwen-3.7B-Base with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Polygl0t/Tucano2-qwen-3.7B-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-qwen-3.7B-Base",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/Polygl0t/Tucano2-qwen-3.7B-Base

SGLang

How to use Polygl0t/Tucano2-qwen-3.7B-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-qwen-3.7B-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-qwen-3.7B-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-qwen-3.7B-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-qwen-3.7B-Base",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use Polygl0t/Tucano2-qwen-3.7B-Base with Docker Model Runner:
```
docker model run hf.co/Polygl0t/Tucano2-qwen-3.7B-Base
```

Tucano2-qwen-3.7B-Base / emissions.csv

nicholasKluge

Upload emissions.csv with huggingface_hub

83b7070 verified 4 months ago

raw

history blame contribute delete

10.8 kB

	timestamp,project_name,run_id,experiment_id,duration,emissions,emissions_rate,cpu_power,gpu_power,ram_power,cpu_energy,gpu_energy,ram_energy,energy_consumed,country_name,country_iso_code,region,cloud_provider,cloud_region,os,python_version,codecarbon_version,cpu_count,cpu_model,gpu_count,gpu_model,longitude,latitude,ram_total_size,tracking_mode,on_cloud,pue
	2026-01-15T18:36:21,Polyglot,a98dcd1d-81e8-4c52-b9ba-98152119eb2c,5b0fa12a-3dd7-45bb-9766-cc326314d9f1,2468.154875099659,0.5195039106304847,0.0002104827034444,45.027290925,365.33355990502815,70.0,0.0298295135649475,1.287542577533486,0.0463341974708924,1.363706288569326,Germany,DEU,north rhine-westphalia,,,Linux-5.14.0-570.35.1.el9_6.x86_64-x86_64-with-glibc2.34,3.12.3,3.0.6,256,AMD EPYC 7713 64-Core Processor,4,4 x NVIDIA A100-SXM4-80GB,7.0932,50.7263,1950,machine,N,1.0
	2026-01-16T09:06:58,Polyglot,a98dcd1d-81e8-4c52-b9ba-98152119eb2c,5b0fa12a-3dd7-45bb-9766-cc326314d9f1,54704.4767507948,11.595711822278624,0.0002119700710254,45.02626823769232,364.31659250401066,70.0,0.6612322660173141,28.75075110169371,1.0269504091064288,30.438933776817496,Germany,DEU,north rhine-westphalia,,,Linux-5.14.0-570.35.1.el9_6.x86_64-x86_64-with-glibc2.34,3.12.3,3.0.6,256,AMD EPYC 7713 64-Core Processor,4,4 x NVIDIA A100-SXM4-80GB,7.0932,50.7263,1950,machine,N,1.0
	2026-01-17T00:14:10,Polyglot,a98dcd1d-81e8-4c52-b9ba-98152119eb2c,5b0fa12a-3dd7-45bb-9766-cc326314d9f1,109136.3574270364,23.13841512055636,0.0002120138115845,45.033781860000005,366.0656712431605,70.0,1.319176990428561,57.37075434434462,2.048787973683132,60.7387193084561,Germany,DEU,north rhine-westphalia,,,Linux-5.14.0-570.35.1.el9_6.x86_64-x86_64-with-glibc2.34,3.12.3,3.0.6,256,AMD EPYC 7713 64-Core Processor,4,4 x NVIDIA A100-SXM4-80GB,7.0932,50.7263,1950,machine,N,1.0
	2026-01-17T15:21:21,Polyglot,a98dcd1d-81e8-4c52-b9ba-98152119eb2c,5b0fa12a-3dd7-45bb-9766-cc326314d9f1,163567.73299597765,34.67404203491055,0.000211985832412,45.02352758400001,365.6402060708027,70.0,1.9771126242558168,85.97220533993158,3.0706112520106603,91.01992921619778,Germany,DEU,north rhine-westphalia,,,Linux-5.14.0-570.35.1.el9_6.x86_64-x86_64-with-glibc2.34,3.12.3,3.0.6,256,AMD EPYC 7713 64-Core Processor,4,4 x NVIDIA A100-SXM4-80GB,7.0932,50.7263,1950,machine,N,1.0
	2026-01-18T06:28:30,Polyglot,a98dcd1d-81e8-4c52-b9ba-98152119eb2c,5b0fa12a-3dd7-45bb-9766-cc326314d9f1,217997.1265374664,46.20552631578055,0.0002119547493569,45.02980962,368.02914726819273,70.0,2.635007360849327,114.56288697912528,4.092370303104284,121.29026464307798,Germany,DEU,north rhine-westphalia,,,Linux-5.14.0-570.35.1.el9_6.x86_64-x86_64-with-glibc2.34,3.12.3,3.0.6,256,AMD EPYC 7713 64-Core Processor,4,4 x NVIDIA A100-SXM4-80GB,7.0932,50.7263,1950,machine,N,1.0
	2026-01-18T21:35:36,Polyglot,a98dcd1d-81e8-4c52-b9ba-98152119eb2c,5b0fa12a-3dd7-45bb-9766-cc326314d9f1,272423.1234841924,57.7453517586373,0.0002119693476093,45.023594388750006,366.0163927822049,70.0,3.292879428269992,143.1755286803314,5.114087648420479,151.58249575702138,Germany,DEU,north rhine-westphalia,,,Linux-5.14.0-570.35.1.el9_6.x86_64-x86_64-with-glibc2.34,3.12.3,3.0.6,256,AMD EPYC 7713 64-Core Processor,4,4 x NVIDIA A100-SXM4-80GB,7.0932,50.7263,1950,machine,N,1.0
	2026-01-19T12:42:46,Polyglot,a98dcd1d-81e8-4c52-b9ba-98152119eb2c,5b0fa12a-3dd7-45bb-9766-cc326314d9f1,326852.9779706467,69.2843478887053,0.0002119740450855,45.019291527,365.1986956207545,70.0,3.9508097393555017,171.78584064300725,6.135899528926718,181.8725499112884,Germany,DEU,north rhine-westphalia,,,Linux-5.14.0-570.35.1.el9_6.x86_64-x86_64-with-glibc2.34,3.12.3,3.0.6,256,AMD EPYC 7713 64-Core Processor,4,4 x NVIDIA A100-SXM4-80GB,7.0932,50.7263,1950,machine,N,1.0
	2026-01-20T03:49:46,Polyglot,a98dcd1d-81e8-4c52-b9ba-98152119eb2c,5b0fa12a-3dd7-45bb-9766-cc326314d9f1,381273.3088904135,80.82208866270898,0.0002119794036931,45.02813139346154,366.5763535291482,70.0,4.608630381110712,200.3931514191152,7.157526935066201,212.1593087352907,Germany,DEU,north rhine-westphalia,,,Linux-5.14.0-570.35.1.el9_6.x86_64-x86_64-with-glibc2.34,3.12.3,3.0.6,256,AMD EPYC 7713 64-Core Processor,4,4 x NVIDIA A100-SXM4-80GB,7.0932,50.7263,1950,machine,N,1.0
	2026-01-20T18:56:48,Polyglot,a98dcd1d-81e8-4c52-b9ba-98152119eb2c,5b0fa12a-3dd7-45bb-9766-cc326314d9f1,435694.7253034543,92.36224746237993,0.0002119884453456,45.02399466681818,365.5611996992909,70.0,5.266440596559091,229.00681658280672,8.179157736976183,242.45241491634053,Germany,DEU,north rhine-westphalia,,,Linux-5.14.0-570.35.1.el9_6.x86_64-x86_64-with-glibc2.34,3.12.3,3.0.6,256,AMD EPYC 7713 64-Core Processor,4,4 x NVIDIA A100-SXM4-80GB,7.0932,50.7263,1950,machine,N,1.0
	2026-01-21T10:03:57,Polyglot,a98dcd1d-81e8-4c52-b9ba-98152119eb2c,5b0fa12a-3dd7-45bb-9766-cc326314d9f1,490123.6352933403,103.90027516583852,0.0002119878897569,45.0380538,362.73561379820666,70.0,5.924347015764262,257.6146445718286,9.200935347279996,272.73992693486946,Germany,DEU,north rhine-westphalia,,,Linux-5.14.0-570.35.1.el9_6.x86_64-x86_64-with-glibc2.34,3.12.3,3.0.6,256,AMD EPYC 7713 64-Core Processor,4,4 x NVIDIA A100-SXM4-80GB,7.0932,50.7263,1950,machine,N,1.0
	2026-01-22T01:10:57,Polyglot,a98dcd1d-81e8-4c52-b9ba-98152119eb2c,5b0fa12a-3dd7-45bb-9766-cc326314d9f1,544543.8373416401,115.4391691490337,0.000211992426014,45.025143291,364.764783523692,70.0,6.582147076467519,286.2250175984421,10.222548277012152,303.0297129519194,Germany,DEU,north rhine-westphalia,,,Linux-5.14.0-570.35.1.el9_6.x86_64-x86_64-with-glibc2.34,3.12.3,3.0.6,256,AMD EPYC 7713 64-Core Processor,4,4 x NVIDIA A100-SXM4-80GB,7.0932,50.7263,1950,machine,N,1.0
	2026-01-22T16:22:42,Polyglot,a98dcd1d-81e8-4c52-b9ba-98152119eb2c,5b0fa12a-3dd7-45bb-9766-cc326314d9f1,599248.5571675301,127.00066561859128,0.0002119332021738,45.022997385,365.56758633067534,70.0,7.243476923541371,314.88571718170573,11.24963676124982,333.37883086649504,Germany,DEU,north rhine-westphalia,,,Linux-5.14.0-570.35.1.el9_6.x86_64-x86_64-with-glibc2.34,3.12.3,3.0.6,256,AMD EPYC 7713 64-Core Processor,4,4 x NVIDIA A100-SXM4-80GB,7.0932,50.7263,1950,machine,N,1.0
	2026-01-23T12:45:51,Polyglot,2484ccec-2100-4c4c-b6e6-435ed2c585ba,5b0fa12a-3dd7-45bb-9766-cc326314d9f1,54613.77945225686,11.550126398496984,0.0002114874032586,45.03137619681819,364.7858089641286,70.0,0.6601663593915156,28.63382480287487,1.0252801292337537,30.31927129150016,Germany,DEU,north rhine-westphalia,,,Linux-5.14.0-570.35.1.el9_6.x86_64-x86_64-with-glibc2.34,3.12.3,3.0.6,256,AMD EPYC 7713 64-Core Processor,4,4 x NVIDIA A100-SXM4-80GB,7.0932,50.7263,1950,machine,N,1.0
	2026-01-24T03:53:26,Polyglot,2484ccec-2100-4c4c-b6e6-435ed2c585ba,5b0fa12a-3dd7-45bb-9766-cc326314d9f1,109069.18703039364,23.095515196498937,0.0002117510529354,45.02650497576924,365.02014175589295,70.0,1.3184111013187851,57.260129715011885,2.0475654876437246,60.62610630397411,Germany,DEU,north rhine-westphalia,,,Linux-5.14.0-570.35.1.el9_6.x86_64-x86_64-with-glibc2.34,3.12.3,3.0.6,256,AMD EPYC 7713 64-Core Processor,4,4 x NVIDIA A100-SXM4-80GB,7.0932,50.7263,1950,machine,N,1.0
	2026-01-24T19:00:52,Polyglot,2484ccec-2100-4c4c-b6e6-435ed2c585ba,5b0fa12a-3dd7-45bb-9766-cc326314d9f1,163514.35428753495,34.6420400613965,0.0002118593209283,45.0275499225,363.8928029652876,70.0,1.97649903696516,85.88980653234592,3.069617941376579,90.93592351068774,Germany,DEU,north rhine-westphalia,,,Linux-5.14.0-570.35.1.el9_6.x86_64-x86_64-with-glibc2.34,3.12.3,3.0.6,256,AMD EPYC 7713 64-Core Processor,4,4 x NVIDIA A100-SXM4-80GB,7.0932,50.7263,1950,machine,N,1.0
	2026-01-25T10:08:17,Polyglot,2484ccec-2100-4c4c-b6e6-435ed2c585ba,5b0fa12a-3dd7-45bb-9766-cc326314d9f1,217959.6767143328,46.19001499252549,0.0002119200013911,45.0285341535,364.1332683805725,70.0,2.634615922478797,114.52321929127991,4.091711951290329,121.2495471650492,Germany,DEU,north rhine-westphalia,,,Linux-5.14.0-570.35.1.el9_6.x86_64-x86_64-with-glibc2.34,3.12.3,3.0.6,256,AMD EPYC 7713 64-Core Processor,4,4 x NVIDIA A100-SXM4-80GB,7.0932,50.7263,1950,machine,N,1.0
	2026-01-26T12:55:19,Polyglot,2056727d-5a23-4012-8dc1-d9ed973eafe3,5b0fa12a-3dd7-45bb-9766-cc326314d9f1,54645.26329020783,11.564505259260228,0.0002116286858724,45.02202440625,366.6509312989584,70.0,0.6605413594542934,28.67061471564012,1.0258599618138646,30.35701603690833,Germany,DEU,north rhine-westphalia,,,Linux-5.14.0-570.35.1.el9_6.x86_64-x86_64-with-glibc2.34,3.12.3,3.0.6,256,AMD EPYC 7713 64-Core Processor,4,4 x NVIDIA A100-SXM4-80GB,7.0932,50.7263,1950,machine,N,1.0
	2026-01-28T09:16:38,Polyglot,44d02a14-b9c1-4b54-96eb-262e07ddb7aa,5b0fa12a-3dd7-45bb-9766-cc326314d9f1,54667.189970373,12.630934188028013,0.0002310514624013,225.0,364.96770478698727,70.0,3.4129260209240755,28.681692707280227,1.0617907429283409,33.156409471132726,Germany,DEU,north rhine-westphalia,,,Linux-5.14.0-570.35.1.el9_6.x86_64-x86_64-with-glibc2.34,3.12.3,3.0.6,256,AMD EPYC 7713 64-Core Processor,4,4 x NVIDIA A100-SXM4-80GB,7.0932,50.7263,1950,machine,N,1.0
	2026-01-29T00:24:39,Polyglot,44d02a14-b9c1-4b54-96eb-262e07ddb7aa,5b0fa12a-3dd7-45bb-9766-cc326314d9f1,109148.035300284,25.27580870613449,0.0002315736479964,225.0,366.0242192060592,70.0,6.8141945241443445,57.41526349217393,2.119954521113271,66.3494125374314,Germany,DEU,north rhine-westphalia,,,Linux-5.14.0-570.35.1.el9_6.x86_64-x86_64-with-glibc2.34,3.12.3,3.0.6,256,AMD EPYC 7713 64-Core Processor,4,4 x NVIDIA A100-SXM4-80GB,7.0932,50.7263,1950,machine,N,1.0
	2026-02-02T11:01:39,Polyglot,a7a5d34d-5890-4e6c-8818-fee6be214e64,5b0fa12a-3dd7-45bb-9766-cc326314d9f1,54529.717731854005,11.516054625936697,0.0002111885977948,45.00559872,370.8932572897432,70.0,0.6591468596468995,28.54703232066313,1.023653149225791,30.229832329535885,Germany,DEU,north rhine-westphalia,,,Linux-5.14.0-570.35.1.el9_6.x86_64-x86_64-with-glibc2.34,3.12.3,3.0.6,256,AMD EPYC 7713 64-Core Processor,4,4 x NVIDIA A100-SXM4-80GB,7.0932,50.7263,1950,machine,N,1.0
	2026-02-03T04:10:53,Polyglot,58b3e182-5987-4f0f-90c8-34d6a56e3290,5b0fa12a-3dd7-45bb-9766-cc326314d9f1,54836.62605299696,11.529045078499776,0.0002102435162104,45.031022775,364.51114155448056,70.0,0.6628703193037179,28.57158590252822,1.0294762588080826,30.26393248063992,Germany,DEU,north rhine-westphalia,,,Linux-5.14.0-570.35.1.el9_6.x86_64-x86_64-with-glibc2.34,3.12.3,3.0.6,256,AMD EPYC 7713 64-Core Processor,4,4 x NVIDIA A100-SXM4-80GB,7.0932,50.7263,1950,machine,N,1.0
	2026-02-03T04:11:15,Polyglot,58b3e182-5987-4f0f-90c8-34d6a56e3290,5b0fa12a-3dd7-45bb-9766-cc326314d9f1,54858.70311053004,11.533777165940318,0.00021024516643606961,45.000000405,475.9117209547019,70.0,0.6633147701490933,28.58287248572414,1.0301670319345049,30.276354287807635,Germany,DEU,north rhine-westphalia,,,Linux-5.14.0-570.35.1.el9_6.x86_64-x86_64-with-glibc2.34,3.12.3,3.0.6,256,AMD EPYC 7713 64-Core Processor,4,4 x NVIDIA A100-SXM4-80GB,7.0932,50.7263,1950,machine,N,1.0