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Add repetition_penalty
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4c27562157
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@ -34,7 +34,7 @@ class RWKVModel:
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result.pipeline = pipeline
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result.pipeline = pipeline
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return result
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return result
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def generate(self, context="", token_count=20, temperature=1, top_p=1, top_k=50, alpha_frequency=0.1, alpha_presence=0.1, token_ban=[0], token_stop=[], callback=None):
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def generate(self, context="", token_count=20, temperature=1, top_p=1, top_k=50, repetition_penalty=None, alpha_frequency=0.1, alpha_presence=0.1, token_ban=[0], token_stop=[], callback=None):
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args = PIPELINE_ARGS(
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args = PIPELINE_ARGS(
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temperature = temperature,
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temperature = temperature,
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top_p = top_p,
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top_p = top_p,
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@ -119,7 +119,7 @@ def generate_reply(question, max_new_tokens, do_sample, temperature, top_p, typi
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if any((shared.is_RWKV, shared.is_llamacpp)):
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if any((shared.is_RWKV, shared.is_llamacpp)):
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try:
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try:
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if shared.args.no_stream:
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if shared.args.no_stream:
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reply = shared.model.generate(context=question, token_count=max_new_tokens, temperature=temperature, top_p=top_p, top_k=top_k)
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reply = shared.model.generate(context=question, token_count=max_new_tokens, temperature=temperature, top_p=top_p, top_k=top_k, repetition_penalty=repetition_penalty)
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if not (shared.args.chat or shared.args.cai_chat):
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if not (shared.args.chat or shared.args.cai_chat):
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reply = original_question + apply_extensions(reply, "output")
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reply = original_question + apply_extensions(reply, "output")
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yield formatted_outputs(reply, shared.model_name)
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yield formatted_outputs(reply, shared.model_name)
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