Clément Sicard 1b48d6cb8c LlamaCppEmbeddings: adds verbose parameter, similar to llms.LlamaCpp class (#11038) ... ## Description As of now, when instantiating and during inference, `LlamaCppEmbeddings` outputs (a lot of) verbose when controlled from Langchain binding - it is a bit annoying when computing the embeddings of long documents, for instance. This PR adds `verbose` for `LlamaCppEmbeddings` objects to be able **not** to print the verbose of the model to `stderr`. It is natively supported by `llama-cpp-python` and directly passed to the library – the PR is hence very small. The value of `verbose` is `True` by default, following the way it is defined in [`LlamaCpp` (`llamacpp.py` #L136-L137)](c87e9fb2ce/libs/langchain/langchain/llms/llamacpp.py (L136-L137)) ## Issue _No issue linked_ ## Dependencies _No additional dependency needed_ ## To see it in action ```python from langchain.embeddings import LlamaCppEmbeddings MODEL_PATH = "<path_to_gguf_file>" if __name__ == "__main__": llm_embeddings = LlamaCppEmbeddings( model_path=MODEL_PATH, n_gpu_layers=1, n_batch=512, n_ctx=2048, f16_kv=True, verbose=False, ) ``` Co-authored-by: Bagatur <baskaryan@gmail.com>		2023-09-28 18:37:51 -07:00
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experimental	Synthetic Data generation (#9472)	2023-09-28 18:16:05 -07:00
langchain	LlamaCppEmbeddings: adds verbose parameter, similar to llms.LlamaCpp class (#11038)	2023-09-28 18:37:51 -07:00
langserve	LangServe: Relax requirements (#11198)	2023-09-28 21:27:19 -04:00