ALIA-40b
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ALIA-40b-fc-2606
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View details ↗ALIA-40b-instruct-2606
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View details ↗MrBERT
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View details ↗MrBERT-es
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View details ↗mRoBERTa
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View details ↗RoBERTa-ca
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View details ↗RoBERTalex
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View details ↗salamandra-2b
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View details ↗salamandra-2b-instruct
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View details ↗salamandra-7b
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View details ↗salamandra-7b-instruct
BSC-LTThis repository contains the model described in Salamandra Technical Report. Salamandra 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 7B instructed version. To visit the model cards of other Salamandra versions, please refer to the Model Index.
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View details ↗> [!NOTE] > **WARNING:** Although this model has undergone safety and value alignment, it may still occasionally generate unintended or undesired outputs. > > **Sampling Parameters:** For optimal performance, we recommend using temperatures close to zero (0 - 0.2). Additionally, we advise against using any type of repetition penalty, as from our experience, it negatively impacts instructed model's responses. The Salamandra-7b-instruct model is an instructed variant of a context-extended base Salamandra-7b model, which was pre-trained from scratch on 9.83 trillion tokens of carefully curated data spanning 35 European languages (including code). This instructed version is optimized to follow user prompts and engage in dialogue. It supports a broad range of languages (e.g. Spanish, Catalan, Basque, English, etc.) and is capable of text generation, translation, summarization, and question-answering in these languages. This version has also gone through a preliminary alignment phase for helpfulness and safety with synthetically generated preference pairs. The model has been made openly available under the Apache 2.0 license for the benefit of society. Through this open release, ALIA seeks to accelerate scientific progress and innovation by enabling the scientific community and society at large to use, study, evaluate, adapt, further develop, and build upon the model. This open approach promotes collaboration, transparency, and the responsible development of artificial intelligence, helping to advance knowledge, drive technological innovation, and contribute to the public interest. The post-training datasets are publicly available in ALIA-SFT, ALIA-SFT-tools, ALIA-DPO-helpulness, and ALIA-DPO-safety.
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View details ↗salamandraTA-2b-instruct
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View details ↗salamandraTA-7b-instruct
BSC-LT基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗vocos-mel-22khz
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