IIC
/

gonzalo-santamaria-iic commited on
Commit
f445671
·
verified ·
1 Parent(s): 6e80bcb

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +3 -3
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 safety responses.
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:** **Cooming soon**.
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 la datos del tiempo de una localización.
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."