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feature: stream output for guanaco (#154)
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@ -76,7 +76,7 @@ def guanaco_generate_stream(model, tokenizer, params, device, context_len=2048):
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streamer = TextIteratorStreamer(
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streamer = TextIteratorStreamer(
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tokenizer, timeout=10.0, skip_prompt=True, skip_special_tokens=True
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tokenizer, timeout=10.0, skip_prompt=True, skip_special_tokens=True
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)
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)
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tokenizer.bos_token_id = 1
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tokenizer.bos_token_id = 1
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stop_token_ids = [0]
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stop_token_ids = [0]
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@ -102,10 +102,9 @@ def guanaco_generate_stream(model, tokenizer, params, device, context_len=2048):
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stopping_criteria=StoppingCriteriaList([stop]),
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stopping_criteria=StoppingCriteriaList([stop]),
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)
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)
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model.generate(**generate_kwargs)
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model.generate(**generate_kwargs)
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out = ""
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out = ""
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for new_text in streamer:
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for new_text in streamer:
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out += new_text
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out += new_text
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yield out
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yield out
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@ -56,7 +56,6 @@ class BaseOutputParser(ABC):
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# output = data["text"][skip_echo_len + 11:].strip()
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# output = data["text"][skip_echo_len + 11:].strip()
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output = data["text"][skip_echo_len:].strip()
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output = data["text"][skip_echo_len:].strip()
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elif "guanaco" in CFG.LLM_MODEL:
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elif "guanaco" in CFG.LLM_MODEL:
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# NO stream output
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# NO stream output
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# output = data["text"][skip_echo_len + 2:].replace("<s>", "").strip()
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# output = data["text"][skip_echo_len + 2:].replace("<s>", "").strip()
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@ -91,7 +91,7 @@ class GuanacoChatAdapter(BaseChatAdpter):
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return "guanaco" in model_path
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return "guanaco" in model_path
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def get_generate_stream_func(self):
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def get_generate_stream_func(self):
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from pilot.model.llm_out.guanaco_llm import guanaco_generate_stream
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from pilot.model.llm_out.guanaco_llm import guanaco_generate_stream
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return guanaco_generate_stream
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return guanaco_generate_stream
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