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@@ -44,7 +44,7 @@ We're releasing the weights of our first MoE based on LFM2, with 8.3B total para
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  - **Code and knowledge** capabilities are significantly improved compared to LFM2-2.6B.
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  - Quantized variants fit comfortably on high-end **phones, tablets, and laptops**.
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- Find more information about LFM2-8B-A1B in our [blog post](https://www.liquid.ai/blog/).
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  ## 📄 Model details
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  - **Code and knowledge** capabilities are significantly improved compared to LFM2-2.6B.
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  - Quantized variants fit comfortably on high-end **phones, tablets, and laptops**.
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+ Find more information about LFM2-8B-A1B in our [blog post](https://www.liquid.ai/blog/lfm2-8b-a1b-an-efficient-on-device-mixture-of-experts).
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  ## 📄 Model details
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