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chore(model gallery): add meta-llama_llama-4-scout-17b-16e-instruct (#5141)
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
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- filename: Tesslate_Synthia-S1-27b-Q4_K_M.gguf
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sha256: d953bf7f802dc68f85a35360deb24b9a8b446af051e82c77f2f0759065d2aa71
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uri: huggingface://bartowski/Tesslate_Synthia-S1-27b-GGUF/Tesslate_Synthia-S1-27b-Q4_K_M.gguf
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- &llama4
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url: "github:mudler/LocalAI/gallery/llama3.1-instruct.yaml@master"
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icon: https://avatars.githubusercontent.com/u/153379578
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license: llama4
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tags:
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- llm
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- gguf
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- gpu
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- cpu
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- llama3.3
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name: "meta-llama_llama-4-scout-17b-16e-instruct"
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urls:
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- https://huggingface.co/meta-llama/Llama-4-Scout-17B-16E-Instruct
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- https://huggingface.co/bartowski/meta-llama_Llama-4-Scout-17B-16E-Instruct-GGUF
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description: |
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The Llama 4 collection of models are natively multimodal AI models that enable text and multimodal experiences. These models leverage a mixture-of-experts architecture to offer industry-leading performance in text and image understanding.
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These Llama 4 models mark the beginning of a new era for the Llama ecosystem. We are launching two efficient models in the Llama 4 series, Llama 4 Scout, a 17 billion parameter model with 16 experts, and Llama 4 Maverick, a 17 billion parameter model with 128 experts.
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overrides:
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parameters:
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model: meta-llama_Llama-4-Scout-17B-16E-Instruct-Q3_K_S.gguf
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files:
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- filename: meta-llama_Llama-4-Scout-17B-16E-Instruct-Q3_K_S.gguf
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sha256: 48dfc18d40691b4190b7fecf1f89b78cadc758c3a27a9e2a1cabd686fdb822e3
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uri: huggingface://bartowski/meta-llama_Llama-4-Scout-17B-16E-Instruct-GGUF/meta-llama_Llama-4-Scout-17B-16E-Instruct-Q3_K_S.gguf
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- &eurollm
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name: "eurollm-9b-instruct"
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icon: https://openeurollm.eu/_next/static/media/logo-dark.e7001867.svg
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