Update README.md

README.md

@@ -91,13 +91,13 @@ pipeline_tag: text-generation
 library_name: transformers
 ---
 
-# Llama3.1-Carballo
+# Llama-3.1-Carballo
 
 ## Table of Contents
 <details>
 <summary>Click to expand</summary>
 
-- [Llama3.1-Carballo](#llama31-carballo)
+- [Llama-3.1-Carballo](#llama31-carballo)
   - [Table of Contents](#table-of-contents)
   - [Model description](#model-description)
   - [Intended uses and limitations](#intended-uses-and-limitations)
@@ -117,12 +117,13 @@ library_name: transformers
 
 ## Model description
 
-**Llama3.1-Carballo** is a 8B-parameter transformer-based causal language model for Galician, Portuguese, Spanish, Catalan and English. 
+**Llama-3.1-Carballo** is a 8B-parameter transformer-based causal language model for Galician, Portuguese, Spanish, Catalan and English. 
 It is the result of a continual pretraining of [meta-llama/Llama-3.1-8B](https://huggingface.co/meta-llama/Llama-3.1-8B) with a multilingual corpus of almost 20B tokens, with an emphasis of Galician texts.
 
+This model is part of the **Carballo familily**, a family of LLMs specialized in Galician. Smaller models can be founded [here](https://huggingface.co/collections/proxectonos/text-models-65d49fa54e358ce02a9699c8)
 ## Intended uses and limitations
 
-The **Llama3.1-Carballo** model is ready-to-use only for causal language modeling. 
+The **Llama-3.1-Carballo** model is ready-to-use only for causal language modeling. 
 It can perform text-generation tasks and be fine-tuned for specific scenarios.
 
 ## How to use
@@ -132,7 +133,7 @@ from transformers import pipeline, AutoTokenizer, AutoModelForCausalLM
 
 input_text = "Hoxe fai un bo día. O sol  "
 
-model_id  = "proxectonos/Llama3.1-Carballo"
+model_id  = "proxectonos/Llama-3.1-Carballo"
 tokenizer = AutoTokenizer.from_pretrained(model_id)
 model = AutoModelForCausalLM.from_pretrained(model_id)
 generator = pipeline(