Improvements #23
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Improvements #23
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1. migrate default config to llama compatible config 2. use COMPUTE_DEVICE to determine gpu offloading 3. use TaskProcessingProvider class for registration Signed-off-by: Anupam Kumar <kyteinsky@gmail.com>
1. better handling of app enabled state 2. download models on /init Signed-off-by: Anupam Kumar <kyteinsky@gmail.com>
Signed-off-by: Anupam Kumar <kyteinsky@gmail.com>
marcelklehr
reviewed
Aug 29, 2024
| from nc_py_api.ex_app.providers.task_processing import TaskProcessingProvider | ||
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| from chains import generate_chains | ||
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| chains = generate_chains() | ||
| models_to_fetch = { | ||
| "https://huggingface.co/bartowski/Meta-Llama-3.1-8B-Instruct-GGUF/resolve/4f0c246f125fc7594238ebe7beb1435a8335f519/Meta-Llama-3.1-8B-Instruct-Q4_K_M.gguf": { "save_path": os.path.join(persistent_storage(), "Meta-Llama-3.1-8B-Instruct-Q4_K_M.gguf") }, |
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Mh, we should download this from a nextcloud-controlled location
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