Update README.md
Browse files
README.md
CHANGED
@@ -22,7 +22,7 @@ This model is licensed for **non-commercial use**. If you want to use it commerc
|
|
22 |
|
23 |
### Model Description
|
24 |
|
25 |
-
This model is the second version of RigoChat, a family of Large Language Models (LLMs) designed to solve typical NLP tasks with Spanish instructions such as: Tool Use, Summarization, Math, Code, Abstractive-QA, etc. Like [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct), this model has no specific use case and can be applied to a wide range of tasks. Indeed, it offers a slight improvement for generalist tasks in Spanish, particularly in RAG (Retriever Augmented Generation) systems with Spanish databases, as its training focused on resolving questions about contexts to prevent hallucinations and ensure
|
26 |
|
27 |
Key benefits of this model include:
|
28 |
|
@@ -41,7 +41,7 @@ Remarkably, this model was trained on a single A100 GPU with limited computation
|
|
41 |
|
42 |
### Model Sources
|
43 |
|
44 |
-
- **Paper:** **
|
45 |
|
46 |
## Uses
|
47 |
|
@@ -127,7 +127,7 @@ For a better experience, we recommend to use [the following generation parameter
|
|
127 |
```python
|
128 |
def get_current_weather(location: str, date: str) -> float:
|
129 |
"""
|
130 |
-
Obtener
|
131 |
|
132 |
Args:
|
133 |
location: La locaización, con el siguiente formato: "Ciudad, País."
|
|
|
22 |
|
23 |
### Model Description
|
24 |
|
25 |
+
This model is the second version of RigoChat, a family of Large Language Models (LLMs) designed to solve typical NLP tasks with Spanish instructions such as: Tool Use, Summarization, Math, Code, Abstractive-QA, etc. Like [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct), this model has no specific use case and can be applied to a wide range of tasks. Indeed, it offers a slight improvement for generalist tasks in Spanish, particularly in RAG (Retriever Augmented Generation) systems with Spanish databases, as its training focused on resolving questions about contexts to prevent hallucinations and ensure safe responses.
|
26 |
|
27 |
Key benefits of this model include:
|
28 |
|
|
|
41 |
|
42 |
### Model Sources
|
43 |
|
44 |
+
- **Paper:** **Coming soon**.
|
45 |
|
46 |
## Uses
|
47 |
|
|
|
127 |
```python
|
128 |
def get_current_weather(location: str, date: str) -> float:
|
129 |
"""
|
130 |
+
Obtener datos del tiempo de una localización.
|
131 |
|
132 |
Args:
|
133 |
location: La locaización, con el siguiente formato: "Ciudad, País."
|