Text Generation
Transformers
PyTorch
llama
guannaco
alpaca
conversational
text-generation-inference
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Update README.md

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README.md CHANGED
@@ -21,7 +21,6 @@ In an effort to foster openness and replicability in research, we have made the
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  When utilizing the Guanaco model, please bear in mind the following points:
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  The Guanaco model has not been filtered for harmful, biased, or explicit content. As a result, outputs that do not adhere to ethical norms may be generated during use. Please exercise caution when using the model in research or practical applications.
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-
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  1. ### Improved context and prompt role support:
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  The new format is designed to be similar to ChatGPT, allowing for better integration with the Alpaca format and enhancing the overall user experience.
@@ -30,23 +29,20 @@ The Guanaco model has not been filtered for harmful, biased, or explicit content
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  The format is as follows:
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  ### Instruction:
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-
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  User: History User Input
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  Assistant: History Assistant Answer
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-
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  ### Input:
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-
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  System: Knowledge
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  User: New User Input
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-
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  ### Response:
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-
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  New Assistant Answer
 
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  This structured format allows for easier tracking of the conversation history and maintaining context throughout a multi-turn dialogue.
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- 2. ### Role-playing support:
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  Guanaco now offers advanced role-playing support, similar to Character.AI, in English, Simplified Chinese, Traditional Chinese, Japanese, and Deutsch, making it more versatile for users from different linguistic backgrounds.
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@@ -56,7 +52,7 @@ The Guanaco model has not been filtered for harmful, biased, or explicit content
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  The model will consistently output responses in the format "Character Name: Reply" to maintain the chosen role throughout the conversation, enhancing the user's experience.
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- 3. Rejection of answers and avoidance of erroneous responses:
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  The model has been updated to handle situations where it lacks sufficient knowledge or is unable to provide a valid response more effectively.
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  Reserved keywords have been introduced to indicate different scenarios and provide clearer communication with the user:
@@ -65,7 +61,7 @@ The Guanaco model has not been filtered for harmful, biased, or explicit content
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  FORBIDDEN: Indicates that the model refuses to answer due to specific reasons (e.g., legal, ethical, or safety concerns), which will be inferred based on the context of the query.
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  SFW: Indicates that the model refuses to answer a question because it has been filtered for NSFW content, ensuring a safer and more appropriate user experience.
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- 4. ### Continuation of responses for ongoing topics:
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  The Guanaco model can now continue answering questions or discussing topics upon the user's request, making it more adaptable and better suited for extended conversations.
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@@ -73,4 +69,5 @@ The Guanaco model has not been filtered for harmful, biased, or explicit content
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  The model can now accommodate role specification and character settings, providing a more immersive and tailored conversational experience based on the user's preferences.
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- It is important to remember that Guanaco is a 7B-parameter model, and **any knowledge-based content should be considered potentially inaccurate**. We strongly recommend **providing verifiable sources, such as Wikipedia, for knowledge-based answers**. In the absence of sources, it is crucial to inform users of this limitation to prevent the dissemination of false information and to maintain transparency.
 
 
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  When utilizing the Guanaco model, please bear in mind the following points:
22
 
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  The Guanaco model has not been filtered for harmful, biased, or explicit content. As a result, outputs that do not adhere to ethical norms may be generated during use. Please exercise caution when using the model in research or practical applications.
 
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  1. ### Improved context and prompt role support:
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  The new format is designed to be similar to ChatGPT, allowing for better integration with the Alpaca format and enhancing the overall user experience.
 
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  The format is as follows:
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+ ```
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  ### Instruction:
 
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  User: History User Input
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  Assistant: History Assistant Answer
 
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  ### Input:
 
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  System: Knowledge
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  User: New User Input
 
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  ### Response:
 
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  New Assistant Answer
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+ ```
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  This structured format allows for easier tracking of the conversation history and maintaining context throughout a multi-turn dialogue.
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+ 3. ### Role-playing support:
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  Guanaco now offers advanced role-playing support, similar to Character.AI, in English, Simplified Chinese, Traditional Chinese, Japanese, and Deutsch, making it more versatile for users from different linguistic backgrounds.
48
 
 
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  The model will consistently output responses in the format "Character Name: Reply" to maintain the chosen role throughout the conversation, enhancing the user's experience.
54
 
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+ 4. Rejection of answers and avoidance of erroneous responses:
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  The model has been updated to handle situations where it lacks sufficient knowledge or is unable to provide a valid response more effectively.
57
 
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  Reserved keywords have been introduced to indicate different scenarios and provide clearer communication with the user:
 
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  FORBIDDEN: Indicates that the model refuses to answer due to specific reasons (e.g., legal, ethical, or safety concerns), which will be inferred based on the context of the query.
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  SFW: Indicates that the model refuses to answer a question because it has been filtered for NSFW content, ensuring a safer and more appropriate user experience.
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+ 5. ### Continuation of responses for ongoing topics:
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  The Guanaco model can now continue answering questions or discussing topics upon the user's request, making it more adaptable and better suited for extended conversations.
67
 
 
69
 
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  The model can now accommodate role specification and character settings, providing a more immersive and tailored conversational experience based on the user's preferences.
71
 
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+ It is important to remember that Guanaco is a 7B-parameter model, and **any knowledge-based content should be considered potentially inaccurate**. We strongly recommend **providing verifiable sources, such as Wikipedia, for knowledge-based answers**. In the absence of sources, it is crucial to inform users of this limitation to prevent the dissemination of false information and to maintain transparency.
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+