Update README.md

README.md

@@ -48,16 +48,14 @@ language:
 > 
 > The weights will be promptly updated as soon as the training process is complete. 
 
-# Salamandra ALIA Model Card
+# ALIA-40b Model Card
 
-Salamandra ALIA is a highly multilingual model pre-trained from scratch that comes in three different 
-sizes — 2B, 7B and 40B parameters — with their respective base and instruction-tuned variants. 
-This model card corresponds to the 40B base version.
+ALIA-40b is a highly multilingual model pre-trained from scratch that will come with its respective base and instruction-tuned variants. 
 
-To visit the model cards of other Salamandra ALIA versions, please refer to the [Model Index](#model-index).
+To visit the model cards of other ALIA versions, please refer to the [Model Index](#model-index).
 
-The entire Salamandra ALIA family is released under a permissive [Apache 2.0 license]((https://www.apache.org/licenses/LICENSE-2.0)).
-Along with the open weights, all training scripts and configuration files are made publicly available in [this GitHub repository](https://github.com/langtech-bsc/salamandra).
+This model is released under a permissive [Apache 2.0 license]((https://www.apache.org/licenses/LICENSE-2.0)).
+Along with the open weights, all training scripts and configuration files are made publicly available in [this GitHub repository](https://github.com/langtech-bsc/alia).
 
 ---
 
@@ -70,7 +68,7 @@ The pre-training corpus contains text in 35 European languages and code.
 
 ### Hyperparameters
 
-The full list of hyperparameters for each model can be found [here](https://github.com/langtech-bsc/salamandra/tree/main/configs).
+The full list of hyperparameters can be found [here](https://github.com/langtech-bsc/alia/blob/main/configs/bsc_40b.yaml).
 
 ### Architecture
 
@@ -145,7 +143,7 @@ This section offers examples of how to perform inference using various methods.
 You'll find different techniques for running inference, including Huggingface's Text Generation Pipeline, multi-GPU configurations, and vLLM for scalable and efficient generation. 
 
 #### Inference with Huggingface's Text Generation Pipeline
-The Huggingface Text Generation Pipeline provides a straightforward way to run inference using the Salamandra-40b model.
+The Huggingface Text Generation Pipeline provides a straightforward way to run inference using the ALIA-40b model.
 
 ```bash
 pip install transformers torch accelerate sentencepiece protobuf
@@ -156,7 +154,7 @@ pip install transformers torch accelerate sentencepiece protobuf
 ```python
 from transformers import pipeline, set_seed
 
-model_id = "BSC-LT/salamandra-40b"
+model_id = "BSC-LT/ALIA-40b"
 
 # Sample prompts
 prompts = [
@@ -202,7 +200,7 @@ pip install transformers torch accelerate sentencepiece protobuf
 from transformers import AutoTokenizer, AutoModelForCausalLM
 import torch
 
-model_id = "BSC-LT/salamandra-40b"
+model_id = "BSC-LT/ALIA-40b"
 
 # Input text
 text = "El mercat del barri és"
@@ -246,7 +244,7 @@ pip install vllm
 ```python
 from vllm import LLM, SamplingParams
 
-model_id = "BSC-LT/salamandra-40b"
+model_id = "BSC-LT/ALIA-40b"
 
 # Sample prompts
 prompts = [
@@ -444,7 +442,7 @@ We provide an extense Datasheet section following the best practices defined by
 
 **For what purpose was the dataset created? Was there a specific task in mind? Was there a specific gap that needed to be filled? Please provide a description.**
 
-The purpose of creating this dataset is to pre-train the Salamandra family of multilingual models with high performance in a large number of 
+The purpose of creating this dataset is to pre-train a family of multilingual models with high performance in a large number of 
 European languages (35) and code (including 92 different programming languages). In addition, we aim to represent especially the co-official 
 languages of Spain: Spanish, Catalan, Galician, and Basque. This is the reason why we carry out an oversampling of these languages.
 
@@ -630,7 +628,7 @@ and the [Ungoliant](https://github.com/oscar-project/ungoliant) pipeline was use
 
 **Has the dataset been used for any tasks already? If so, please provide a description.**
 
-Pre-train the Salamandra model family.
+Pre-train the ALIA model and the Salamandra model family.
 
 **What (other) tasks could the dataset be used for?**
 
@@ -1066,4 +1064,4 @@ Technical report coming soon.
 |:---:|:---:|:---:|
 |2B| [Link](https://huggingface.co/BSC-LT/salamandra-2b) | [Link](https://huggingface.co/BSC-LT/salamandra-2b-instruct) |
 |7B| [Link](https://huggingface.co/BSC-LT/salamandra-7b) | [Link](https://huggingface.co/BSC-LT/salamandra-7b-instruct) |
-|40B| [Link](https://huggingface.co/BSC-LT/salamandra-40b) | WiP |
+|40B| [Link](https://huggingface.co/BSC-LT/ALIA-40b) | WiP |