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from rwkvstic.load import RWKV | |
from rwkvstic.agnostic.backends import TORCH | |
import torch | |
import os | |
os.environ["RWKV_JIT_ON"] = '1' | |
os.environ["RWKV_CUDA_ON"] = '1' # if '1' then use CUDA kernel for seq mode (much faster) | |
# this is the dtype used for trivial operations, such as vector->vector operations and is the dtype that will determine the accuracy of the model | |
runtimedtype = torch.float32 # torch.float64, torch.bfloat16 | |
# this is the dtype used for matrix-vector operations, and is the dtype that will determine the performance and memory usage of the model | |
dtype = torch.bfloat16 # torch.float32, torch.float64, torch.bfloat16 | |
useGPU = False # False | |
model = RWKV("RWKV-4-Pile-3B-Instruct-test2-20230209.pth", mode=TORCH, useGPU=useGPU, runtimedtype=runtimedtype, dtype=dtype) | |
model.loadContext(newctx=f"Q: How many hours are there in a day?\n\nA:") | |
output = model.forward(number=100)["output"] | |
print(output) |