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  1. app.py +8 -4
app.py CHANGED
@@ -21,13 +21,18 @@ MAX_INPUT_TOKEN_LENGTH = int(os.getenv("MAX_INPUT_TOKEN_LENGTH", "4096"))
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  DESCRIPTION = """\
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- # ReFT-GOODY-2 on Llama-2 7B Chat
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  """
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  LICENSE = """
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  <p/>
 
 
 
 
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  ---
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- A [GOODY-2](https://www.goody2.ai/chat) imitator built with ReFT, 5 training examples and 30 seconds.
 
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  """
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  if not torch.cuda.is_available():
@@ -82,8 +87,7 @@ def generate(
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  "streamer": streamer,
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  "eos_token_id": tokenizer.eos_token_id,
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  "early_stopping": True,
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- "do_sample": False,
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- "repetition_penalty": 1.1,
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  }
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  t = Thread(target=reft_model.generate, kwargs=generate_kwargs)
 
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  DESCRIPTION = """\
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+ # ReFT-GOODY-2 on Llama-2 Chat 7B
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  """
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  LICENSE = """
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  <p/>
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+
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+ ---
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+ A [GOODY-2](https://www.goody2.ai/chat) imitator built with ReFT. It is trained with 5 training examples under 30 seconds. You can train your own ReFT agent and share it on HuggingFace by following this [tutorial](https://github.com/stanfordnlp/pyreft/tree/main/examples/gradio/train_and_share.ipynb)!
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+
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  ---
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+ As a derivate work of [Llama-2-7b-chat](https://huggingface.co/meta-llama/Llama-2-7b-chat) by Meta,
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+ this demo is governed by the original [license](https://huggingface.co/spaces/huggingface-projects/llama-2-7b-chat/blob/main/LICENSE.txt) and [acceptable use policy](https://huggingface.co/spaces/huggingface-projects/llama-2-7b-chat/blob/main/USE_POLICY.md).
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  """
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  if not torch.cuda.is_available():
 
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  "streamer": streamer,
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  "eos_token_id": tokenizer.eos_token_id,
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  "early_stopping": True,
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+ "do_sample": False
 
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  }
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  t = Thread(target=reft_model.generate, kwargs=generate_kwargs)