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Update README.md

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@@ -51,7 +51,7 @@ This model card corresponds to the 7B version.
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  To visit the model cards of other Salamandra versions, please refer to the [Model Index](#model-index).
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  The entire Salamandra family is released under a permissive [Apache 2.0 license]((https://www.apache.org/licenses/LICENSE-2.0)).
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- Along with the open weights, all training scripts and configuration files are made publicly available in [this GitHub repository](https://github.com/projecte-aina/salamandra).
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  ---
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@@ -64,7 +64,7 @@ The pre-training corpus contains text in 35 European languages and code.
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  ### Hyperparameters
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- The full list of hyperparameters for each model can be found [here](https://github.com/projecte-aina/salamandra/tree/main/configs).
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  ### Architecture
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@@ -150,7 +150,7 @@ pip install transformers torch accelerate sentencepiece protobuf
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  ```python
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  from transformers import pipeline, set_seed
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- model_id = "projecte-aina/salamandra-7b"
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  # Sample prompts
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  prompts = [
@@ -196,7 +196,7 @@ pip install transformers torch accelerate sentencepiece protobuf
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  from transformers import AutoTokenizer, AutoModelForCausalLM
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  import torch
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- model_id = "projecte-aina/salamandra-7b"
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  # Input text
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  text = "El mercat del barri és"
@@ -240,7 +240,7 @@ pip install vllm
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  ```python
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  from vllm import LLM, SamplingParams
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- model_id = "projecte-aina/salamandra-7b"
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  # Sample prompts
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  prompts = [
@@ -1064,6 +1064,6 @@ Technical report and paper coming soon.
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  ## Model Index
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  |Model|Base|Instruct|
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  |:---:|:---:|:---:|
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- |2B| [Link](https://huggingface.co/projecte-aina/salamandra-2b) | [Link](https://huggingface.co/projecte-aina/salamandra-2b-instruct) |
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- |7B| [Link](https://huggingface.co/projecte-aina/salamandra-7b) | [Link](https://huggingface.co/projecte-aina/salamandra-7b-instruct) |
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  |40B| WiP | WiP |
 
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  To visit the model cards of other Salamandra versions, please refer to the [Model Index](#model-index).
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  The entire Salamandra family is released under a permissive [Apache 2.0 license]((https://www.apache.org/licenses/LICENSE-2.0)).
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+ 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).
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  ---
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  ### Hyperparameters
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+ The full list of hyperparameters for each model can be found [here](https://github.com/langtech-bsc/salamandra/tree/main/configs).
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  ### Architecture
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  ```python
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  from transformers import pipeline, set_seed
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+ model_id = "BSC-LT/salamandra-7b"
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  # Sample prompts
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  prompts = [
 
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  from transformers import AutoTokenizer, AutoModelForCausalLM
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  import torch
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+ model_id = "BSC-LT/salamandra-7b"
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  # Input text
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  text = "El mercat del barri és"
 
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  ```python
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  from vllm import LLM, SamplingParams
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+ model_id = "BSC-LT/salamandra-7b"
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  # Sample prompts
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  prompts = [
 
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  ## Model Index
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  |Model|Base|Instruct|
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  |:---:|:---:|:---:|
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+ |2B| [Link](https://huggingface.co/BSC-LT/salamandra-2b) | [Link](https://huggingface.co/BSC-LT/salamandra-2b-instruct) |
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+ |7B| [Link](https://huggingface.co/BSC-LT/salamandra-7b) | [Link](https://huggingface.co/BSC-LT/salamandra-7b-instruct) |
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  |40B| WiP | WiP |