30 lines
773 B
Python
30 lines
773 B
Python
import torch.cuda
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import torch.backends
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embedding_model_dict = {
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"ernie-tiny": "nghuyong/ernie-3.0-nano-zh",
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"ernie-base": "nghuyong/ernie-3.0-base-zh",
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"text2vec": "GanymedeNil/text2vec-large-chinese",
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}
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# Embedding model name
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EMBEDDING_MODEL = "text2vec"
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# Embedding running device
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EMBEDDING_DEVICE = "cuda" if torch.cuda.is_available() else "mps" if torch.backends.mps.is_available() else "cpu"
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# supported LLM models
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llm_model_dict = {
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"chatglm-6b-int4-qe": "THUDM/chatglm-6b-int4-qe",
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"chatglm-6b-int4": "THUDM/chatglm-6b-int4",
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"chatglm-6b": "THUDM/chatglm-6b",
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}
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# LLM model name
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LLM_MODEL = "chatglm-6b"
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# LLM running device
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LLM_DEVICE = "cuda" if torch.cuda.is_available() else "mps" if torch.backends.mps.is_available() else "cpu"
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