gervasio-8b-portuguese-ptpt-decoder-quantized-4bit

55
8.0B
3 languages
Q4
base_model:meta-llama/Llama-3.1-8B-Instruct
by
PORTULAN
Language Model
OTHER
8B params
New
55 downloads
Early-stage
Try on Hugging FaceAdd to Compare
Edge AI:
Mobile
Laptop
Server
18GB+ RAM
Mobile
Laptop
Server
Quick Summary

AI model with specialized capabilities.

Device Compatibility

Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
8GB+ RAM

Code Examples

How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)
How to usepython3transformers
>>> from transformers import pipeline
>>> generator = pipeline(model='PORTULAN/gervasio-8b-portuguese-ptpt-decoder-quantized-4bit')
>>> generator("A comida portuguesa é", max_new_tokens=10)

Deploy This Model

Production-ready deployment in minutes

Together.ai

Instant API access to this model

Fastest API

Production-ready inference API. Start free, scale to millions.

Try Free API

Replicate

One-click model deployment

Easiest Setup

Run models in the cloud with simple API. No DevOps required.

Deploy Now

Disclosure: We may earn a commission from these partners. This helps keep LLMYourWay free.