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Add RWKV pip package
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@ -13,7 +13,6 @@ np.set_printoptions(precision=4, suppress=True, linewidth=200)
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os.environ['RWKV_JIT_ON'] = '1'
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os.environ["RWKV_CUDA_ON"] = '0' # '1' : use CUDA kernel for seq mode (much faster)
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import repositories.ChatRWKV.v2.rwkv as rwkv
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from rwkv.model import RWKV
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from rwkv.utils import PIPELINE, PIPELINE_ARGS
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@ -22,6 +21,6 @@ def load_RWKV_model(path):
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print(f'strategy={"cpu" if shared.args.cpu else "cuda"} {"fp32" if shared.args.cpu else "bf16" if shared.args.bf16 else "fp16"}')
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model = RWKV(model=path.as_posix(), strategy=f'{"cpu" if shared.args.cpu else "cuda"} {"fp32" if shared.args.cpu else "bf16" if shared.args.bf16 else "fp16"}')
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pipeline = PIPELINE(model, Path("repositories/ChatRWKV/20B_tokenizer.json").as_posix())
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pipeline = PIPELINE(model, Path("models/20B_tokenizer.json").as_posix())
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return pipeline
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@ -3,5 +3,6 @@ bitsandbytes==0.37.0
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flexgen==0.1.6
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gradio==3.18.0
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numpy
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rwkv==0.0.5
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safetensors==0.2.8
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git+https://github.com/huggingface/transformers
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