Llama-3.1-70B-LatamGPT-SFT-1.0

Model overview

LatamGPT is a language model developed from Latin America and the Caribbean, with a focus on representing the region’s linguistic, cultural, and regional particularities. It is built on top of **Llama 3.1 70B** and adapted through **continued pretraining (CPT)** with Latin American data and **supervised fine-tuning (SFT)** focused on instruction following, conversation, and natural language processing tasks in Spanish, Portuguese, and English. This development strengthens technological sovereignty and the deployment of local capabilities, enabling the region to lead its own innovation. The goal of LatamGPT is to provide an open, multilingual, and culturally relevant model that helps reduce the regional representation gap compared with global models, with better coverage of expressions, contexts, cultural references, and language uses specific to Latin America and the Caribbean. LatamGPT 1.0 is an autoregressive model based on the Transformer architecture. It inherits the general capabilities of Llama 3.1 70B and complements them with a regional adaptation process in two main stages:

Key features

特点摘要待依据来源补齐，不凭模型名称推断能力。

Limitations & considerations

Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.

Source prices & cost analysis

Prices vary by channel, region and configuration. Channel quotes are listed independently and are not treated as a single official provider price.

Public benchmarks & run configuration

暂无已采集的可核验公开评分。模型未上榜不代表能力较低。

Frequently asked questions

Sources & traceability

许可证：llama3.1。模型介绍与第三方评测均以原来源的具体版本和方法为准。