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README.md
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@@ -67,16 +67,14 @@ GGML_CUDA=1 make -j # assuming CUDA is available. see docs
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ln -s server ~/.local/bin/whisper_cpp_server # (just put it somewhere in $PATH)
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whisper_cpp_server -l en -m models/ggml-tiny.en.bin --port 7777
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# -ngl option assumes CUDA is available. see docs
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llama-server --hf-repo hellork/calme-2.1-qwen2-7b-IQ4_NL-GGUF --hf-file calme-2.1-qwen2-7b-iq4_nl-imat.gguf -c 2048 -ngl 17 --port 8888
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cd whisper_dictation
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./whisper_cpp_client.py
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```
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Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well.
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Step 1: Clone llama.cpp from GitHub.
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```
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ln -s server ~/.local/bin/whisper_cpp_server # (just put it somewhere in $PATH)
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whisper_cpp_server -l en -m models/ggml-tiny.en.bin --port 7777
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# -ngl option assumes CUDA or othr AI acceleration is available. see docs
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llama-server --hf-repo hellork/calme-2.1-qwen2-7b-IQ4_NL-GGUF --hf-file calme-2.1-qwen2-7b-iq4_nl-imat.gguf -c 2048 -ngl 17 --port 8888
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cd whisper_dictation
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./whisper_cpp_client.py
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```
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### Install llama.cpp via git:
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Step 1: Clone llama.cpp from GitHub.
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```
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