也就是说，Sherman Chann 假设：「稀疏 MoE 模型中的批推理是 GPT-4 API 中大多数不确定性的根本原因」。为了验证这个假设，Sherman Chann 用 GPT-4 编写了一个代码脚本：import osimport jsonimport tqdmimport openaifrom time import sleepfrom pathlib import Pathchat_models = ["gpt-4", "gpt-3.5-turb...
List modelsOperation ID: ModelsGet Lists the currently available models, and provides basic information about each one such as the owner and availability. Returns Agrandir le tableau NamePathTypeDescription Object object string The object. Data data array of object ID data.id string The ...
In this repository, you will find a variety of prompts that can be used with ChatGPT and other AI chat models. We encourage you to add your own prompts to the list, and to use AI to help generate new prompts as well. To get started, simply clone this repository and use the prompts...
prompt: str, n_tokens_to_generate: int = 40, model_size: str = "124M", models_dir: str = "models"):from utils import load_encoder_hparams_and_params# load encoder, hparams, and params from the released open-ai gpt-2 filesencoder, hparams, params = load_encoder_hparams_and_params(...
model = GPT2()# load pretrained_weights from hugging face# download file https://s3.amazonaws.com/models.huggingface.co/bert/gpt2-pytorch_model.bin to `.`model_dict = model.state_dict() #currently with random initializationstate_dict = torch.load("./gpt2-pytorch_model.bin") #pretrained ...
models.list() print(models) Retrieve model example: import openai client = openai.OpenAI(api_key="anything", base_url="http://127.0.0.1:8000/v1/", default_headers={"Authorization": "Bearer anything"}) model = client.models.retrieve("gpt-3.5-turbo-instruct") print(model)...
Download v3 pretrained models (s1v3.ckpt, s2Gv3.pth and models--nvidia--bigvgan_v2_24khz_100band_256x folder) from huggingface and put them into GPT_SoVITS\pretrained_models. additional: for Audio Super Resolution model, you can read how to download Todo List High Priority: Localization ...
Another default setting in ChatGPT is that your conversations and memories can be used as training data to improve OpenAI's models. If you want to turn this setting off, here's how to do it in the web and mobile app. Click on your profile, and then click Settings. Click Data control...
(prompt:str,n_tokens_to_generate:int=40,model_size:str="124M",models_dir:str="models"):fromutilsimportload_encoder_hparams_and_params# load encoder, hparams, and params from the released open-ai gpt-2 filesencoder,hparams,params=load_encoder_hparams_and_params(model_size,models_dir)# ...
print(json.dumps(list(sequences))) results.append((len(sequences), model)) # Testing completion models for model in completion_models: sequences = set() errors = 0 with TimeIt(model): for _ in range(C): try: completion = openai.Completion.create( ...