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README.md
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@@ -143,7 +143,27 @@ llama-cli --hf-repo hellork/law-chat-IQ4_NL-GGUF --hf-file law-chat-iq4_nl-imat.
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llama-server --hf-repo hellork/law-chat-IQ4_NL-GGUF --hf-file law-chat-iq4_nl-imat.gguf -c 2048
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```
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Step 1: Clone llama.cpp from GitHub.
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```
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llama-server --hf-repo hellork/law-chat-IQ4_NL-GGUF --hf-file law-chat-iq4_nl-imat.gguf -c 2048
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```
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### The Ship's Computer:
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Interact with this model by speaking to it. Lean, fast, & private, networked speech to text, AI images, multi-modal voice chat, control apps, webcam, and sound with less than 4GiB of VRAM.
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[whisper_dictation](https://github.com/themanyone/whisper_dictation)
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```bash
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git clone -b main --single-branch https://github.com/themanyone/whisper_dictation.git
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pip install -r whisper_dictation/requirements.txt
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git clone https://github.com/ggerganov/whisper.cpp
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cd whisper.cpp
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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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cd whisper_dictation
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./whisper_cpp_client.py
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```
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See [the docs](https://github.com/themanyone/whisper_dictation) for tips on integrating with llama.cpp server, enabling the computer to talk back, draw AI images, carry out voice commands, and other features.
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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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