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chore: run black against modified code
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2e74ef0ff0
commit
0b1d54afa6
@ -43,7 +43,6 @@ LLM_MODEL_CONFIG = {
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"guanaco-33b-merged": os.path.join(MODEL_PATH, "guanaco-33b-merged"),
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"guanaco-33b-merged": os.path.join(MODEL_PATH, "guanaco-33b-merged"),
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"falcon-40b": os.path.join(MODEL_PATH, "falcon-40b"),
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"falcon-40b": os.path.join(MODEL_PATH, "falcon-40b"),
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"gorilla-7b": os.path.join(MODEL_PATH, "gorilla-7b"),
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"gorilla-7b": os.path.join(MODEL_PATH, "gorilla-7b"),
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# TODO Support baichuan-7b
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# TODO Support baichuan-7b
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# "baichuan-7b" : os.path.join(MODEL_PATH, "baichuan-7b"),
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# "baichuan-7b" : os.path.join(MODEL_PATH, "baichuan-7b"),
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"gptj-6b": os.path.join(MODEL_PATH, "ggml-gpt4all-j-v1.3-groovy.bin"),
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"gptj-6b": os.path.join(MODEL_PATH, "ggml-gpt4all-j-v1.3-groovy.bin"),
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@ -32,9 +32,14 @@ class BaseLLMAdaper:
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return True
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return True
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def loader(self, model_path: str, from_pretrained_kwargs: dict):
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def loader(self, model_path: str, from_pretrained_kwargs: dict):
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tokenizer = AutoTokenizer.from_pretrained(model_path, use_fast=False,trust_remote_code=True)
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tokenizer = AutoTokenizer.from_pretrained(
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model_path, use_fast=False, trust_remote_code=True
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)
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model = AutoModelForCausalLM.from_pretrained(
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model = AutoModelForCausalLM.from_pretrained(
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model_path, low_cpu_mem_usage=True, trust_remote_code=True, **from_pretrained_kwargs
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model_path,
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low_cpu_mem_usage=True,
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trust_remote_code=True,
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**from_pretrained_kwargs,
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)
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)
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return model, tokenizer
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return model, tokenizer
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@ -90,7 +90,6 @@ class ModelWorker:
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ret = {"text": "**GPU OutOfMemory, Please Refresh.**", "error_code": 0}
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ret = {"text": "**GPU OutOfMemory, Please Refresh.**", "error_code": 0}
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yield json.dumps(ret).encode() + b"\0"
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yield json.dumps(ret).encode() + b"\0"
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except Exception as e:
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except Exception as e:
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msg = "{}: {}".format(str(e), traceback.format_exc())
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msg = "{}: {}".format(str(e), traceback.format_exc())
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ret = {
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ret = {
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