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  **Pleias-RAG-350m** is a 350 million parameters Small Reasoning Model, trained for retrieval-augmented general (RAG), search and source summarization. Along with Pleias-RAG-1B it belongs to the first generation of Pleias specialized reasoning models.
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- Pleias-RAG-350m outperform most SLMs (4 billion parameters and below) on standardized benchmarks for retrieval-augmented general (HotPotQA, 2wiki) and is competitive with popular larger models, including Qwen-2.5-7B, Llama-3.1-8B and Gemma-3-4B. It is the only SLM to date to maintain consistent RAG performance across leading European languages and to ensure systematic reference grounding for statements.
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  <p align="center">
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  <img width="80%" src="figures/pleias_benchmark.png">
 
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  **Pleias-RAG-350m** is a 350 million parameters Small Reasoning Model, trained for retrieval-augmented general (RAG), search and source summarization. Along with Pleias-RAG-1B it belongs to the first generation of Pleias specialized reasoning models.
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+ Pleias-RAG-350m outperform most SLMs (4 billion parameters and below) on standardized benchmarks for retrieval-augmented general (HotPotQA, 2wiki) and is a highly cost effective alternative with popular larger models, including Qwen-2.5-7B, Llama-3.1-8B and Gemma-3-4B. It is the only SLM to date to maintain consistent RAG performance across leading European languages and to ensure systematic reference grounding for statements.
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  <p align="center">
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  <img width="80%" src="figures/pleias_benchmark.png">