Jared Van Bortel commited on
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update README

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- **Warning**: There is a llama.cpp PR [about to be merged](https://github.com/ggerganov/llama.cpp/pull/5500) that will break compatibility with these files. Keep an eye out for updates to this repo.
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  llama.cpp will default to 2048 tokens of context with these files. To use the full 8192 tokens that Nomic Embed is benchmarked on, you will have to choose a context extension method. The original model uses Dynamic NTK-Aware RoPE scaling, but that is not currently available in llama.cpp. A combination of YaRN and linear scaling is an acceptable substitute.
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- These files were converted and quantized with llama.cpp commit [6c00a0669](https://github.com/ggerganov/llama.cpp/commit/6c00a066928b0475b865a2e3e709e2166e02d548).
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  ## Example `llama.cpp` Command
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+ **Note**: For compatiblity with current llama.cpp, please download the files published on 2/15/2024. The files originally published here do not work after llama.cpp [PR 5500](https://github.com/ggerganov/llama.cpp/pull/5500).
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  llama.cpp will default to 2048 tokens of context with these files. To use the full 8192 tokens that Nomic Embed is benchmarked on, you will have to choose a context extension method. The original model uses Dynamic NTK-Aware RoPE scaling, but that is not currently available in llama.cpp. A combination of YaRN and linear scaling is an acceptable substitute.
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+ These files were converted and quantized with llama.cpp [PR 5500](https://github.com/ggerganov/llama.cpp/pull/5500), commit [34aa045de](https://github.com/ggerganov/llama.cpp/pull/5500/commits/34aa045de44271ff7ad42858c75739303b8dc6eb).
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  ## Example `llama.cpp` Command
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