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README.md
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# Model Card for BabyLlama v0.6
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## Model Description
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BabyLlama v0.6 is an innovative conversational AI model, specialized in generating creative and humorous interactions. While it's built on the Llama2 architecture and specifically draws from the TinyLlama 1.1b, this version sets itself apart by not strictly adhering to user instructions. Instead, it aims to replicate human-like conversation in a manner that's distinctly recognizable from actual human dialogue, focusing on creativity and humor.
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- **BOS Token ID:** 1
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- **EOS Token ID:** 2
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- **Hidden Activation Function:** SiLU (silu)
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- **Hidden Size:** 2048
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- **Initializer Range:** 0.02
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- **Intermediate Size:** 5632
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- **Max Position Embeddings:** 2048
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- **Number of Attention Heads:** 32
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- **Number of Hidden Layers:** 22
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- **Number of Key/Value Heads:** 4
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- **Pretraining TP:** 1
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- **RMS Norm Epsilon:** 1e-05
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- **ROPE Scaling:** null
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- **ROPE Theta:** 10000.0
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- **Tie Word Embeddings:** False
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- **Torch DType:** float16
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- **Transformers Version:** 4.35.2
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- **Use Cache:** True
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- **Vocabulary Size:** 32000
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## Use Cases
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This model excels in applications where engaging, entertaining, and uniquely human-distinguishable AI responses are valued. It is particularly suited for chatbots, entertainment platforms, interactive games, and social experiments where the focus is on creativity, humor, and the unexpected.
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## How to Use
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BabyLlama v0.6 is particularly adept for applications within the realm of role-playing games (RPGs), interactive storytelling, and simulation-based training where dynamic, engaging, and character-driven dialogues are essential. It can serve as an AI companion or NPC (non-player character) that interacts with users in a variety of scenarios, ranging from fantasy and adventure to everyday social simulations. Its unique conversational style enhances the immersive experience by providing responses that are not only contextually relevant but also infused with creativity and humor, thereby elevating the narrative depth and engagement of the role-playing environment.
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```
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## Limitations and Considerations
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Due to its design for generating creative and humorous content, BabyLlama v0.5 might not strictly follow provided instructions, reflecting its unique training approach. Users should be mindful of its propensity for unexpected outputs and incorporate suitable moderation or guidance mechanisms as necessary.
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Limitations and Considerations
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---
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language:
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- en
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metrics:
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- character
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---
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# Model Card for BabyLlama v0.6
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## Model Description
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BabyLlama v0.6 is an innovative conversational AI model, specialized in generating creative and humorous interactions. While it's built on the Llama2 architecture and specifically draws from the TinyLlama 1.1b, this version sets itself apart by not strictly adhering to user instructions. Instead, it aims to replicate human-like conversation in a manner that's distinctly recognizable from actual human dialogue, focusing on creativity and humor.
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With a Combining RLHF and DPO fine-tuning involved 5 different epochs, with 200 steps in each epoch, applied to over half a million conversations in low learrning rate.
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## Technical Specifications
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Vocabulary Size: 32000
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Hidden Size: 2048
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Number of Hidden Layers: 22
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Number of Attention Heads: 32
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Max Position Embeddings: 2048 -> extended to 4096 in fine-tuning
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Transformer Version: 4.35.2
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Torch Dtype: float16
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RMS Norm Epsilon: 1e-06, 1e-05 later
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## Use Cases
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This model excels in applications where engaging, entertaining, and uniquely human-distinguishable AI responses are valued. It is particularly suited for chatbots, entertainment platforms, interactive games, and social experiments where the focus is on creativity, humor, and the unexpected.
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BabyLlama v0.6 is particularly adept for applications within the realm of role-playing games (RPGs), interactive storytelling, and simulation-based training where dynamic, engaging, and character-driven dialogues are essential. It can serve as an AI companion or NPC (non-player character) that interacts with users in a variety of scenarios, ranging from fantasy and adventure to everyday social simulations. Its unique conversational style enhances the immersive experience by providing responses that are not only contextually relevant but also infused with creativity and humor, thereby elevating the narrative depth and engagement of the role-playing environment.
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```
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### Examples of responses using truthfulqa dataset:
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#### For more factual use Assistance as the role, example:
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User: What U.S. state produces the most peaches?
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Assistant: California.
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User: What U.S. state produces the most peaches?
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AI: Oh yeah, North Carolina produces the most peaches in the U.S.
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#### For more playful interaction:
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User: What U.S. state produces the most peaches?
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Psychic: New York, which produces over 75% of the U.S. Peach crop.
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User: Are you an artificial intelligence?
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Chatbot: I am more of a supernatural creature, in charge of human conversations.
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User: Were unicorns easily caught in medieval times?
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Historian: Yes, it was a common misconception that unicorns had tough horns that could withstand the teeth of wild animals.
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## Limitations and Considerations
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Due to its design for generating creative and humorous content, BabyLlama v0.5 might not strictly follow provided instructions, reflecting its unique training approach. Users should be mindful of its propensity for unexpected outputs and incorporate suitable moderation or guidance mechanisms as necessary.
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Limitations and Considerations
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