Aqua is a 100-million-parameter model trained on vast amounts of curated, organized data. It is designed for general-purpose responses and is retrained daily. Its intended use is as a base model for fine-tuning by companies or individuals, and it is released under the Apache 2.0 license for flexible use. Although this version has been trained on highly refined data up to 2026, it is the smallest variant. We will soon launch Aqua-3.0.0, a model optimized for more fluent Spanish conversations, with future plans to add support for English, Chinese, Arabic, and Russian.
Usage
from transformers import AutoTokenizer, AutoModelForCausalLM
repo = "aquas-modela/Aqua-1.0.0"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(repo)
inputs = tok("USUARIO: hola\nASISTENTE:", return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=200, do_sample=True, temperature=0.78, top_p=0.92, top_k=50, repetition_penalty=1.08, no_repeat_ngram_size=3)
print(tok.decode(outputs[0][inputs["input_ids"].shape[1]:], skip_special_tokens=True))