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    llama.cpp v0.6.0 adds Clef support for text and vision

    The release announcement touts Qwen3.8-Flash-Next support, major Metal performance gains and a new `llama_batch_ext` API.

    Georgi GerganovGG
    Luis CatacoraLC
    3 Sources, ,

    TLDR

    The v0.6.0 release announcement lists Clef text and vision support, Qwen3.8-Flash-Next support, what it calls a massive Metal performance improvement, a new llama_batch_ext API and a refreshed website. Another user says Clef can now run via llama.cpp and shares an Ollama-versus-llama.cpp speed test on an M5 Max MacBook Pro.

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    3 Sources, first seen 3h ago

    Combined views

    2.1K

    3 Sources, first seen 3h ago

    17 likes
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    3 Sources

    Luis Catacora@lucatacoYou can now run Clef via llama.cpp! llama serve -hf ggml-org/Clef-GGUF Ollama vs llama.cpp speed test on my M5 Max MBP:3h
    Georgi Gerganov@ggerganovRT @lucataco: You can now run Clef via llama.cpp! llama serve -hf ggml-org/Clef-GGUF Ollama vs llama.cpp speed test on my M5 Max MBP: htt…1h

    3 Sources

    Luis Catacora@lucatacoYou can now run Clef via llama.cpp! llama serve -hf ggml-org/Clef-GGUF Ollama vs llama.cpp speed test on my M5 Max MBP:3h
    Georgi Gerganov@ggerganovRT @lucataco: You can now run Clef via llama.cpp! llama serve -hf ggml-org/Clef-GGUF Ollama vs llama.cpp speed test on my M5 Max MBP: htt…1h