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+ ---
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+ language: en
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+ tags:
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+ - coffeechat-ai
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+ - text-generation
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+ - side project
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+
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+ license: apache-2.0
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+ datasets:
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+ - openwebtext
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+
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+ model-index:
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+ - name: coffeechat-ai
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+ results:
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+ - task:
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+ type: text-generation
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+ name: Text Generation
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+ dataset:
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+ type: wikitext
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+ name: WikiText-103
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+ metrics:
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+ - type: Coffeechat AI
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+ name: CoffeeChat AI
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+ value: 21.1
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+
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+ co2_eq_emissions: 149200
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+ ---
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+
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+ # CoffeeChat AI ☕
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+
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+ CoffeeChat AI is a lightweight, fine-tuned English language model based model.
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+ It was Developed and customized by **Adrian Charles and his team Bluckhut** as a side project, with the goal of making an accessible, branded chatbot-style AI for text generation.
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+
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+ CoffeeChat AI can be used to generate text for creative, academic, or entertainment purposes.
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+
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+ ---
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+
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+ ## Model Details
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+
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+ - **Developed by:** Adrian Charles Obonyo
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+ - **Base model:** CoffeeChat AI
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+ - **Model type:** Transformer-based Language Model
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+ - **Language:** English
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+ - **License:** Apache 2.0
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+ - **Model Description:**
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+ CoffeeChat AI, which has 82 million parameters, trained using *knowledge distillation* from vast datasets.
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+ This version has been rebranded, documented, and prepared as part of a side project, with the intent of making AI more approachable.
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+
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+ ---
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+
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+ ## Uses, Limitations, and Risks
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+
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+ #### Potential Uses
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+ - Writing assistance (grammar, autocompletion, brainstorming)
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+ - Creative writing and art (stories, poetry, dialogue generation)
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+ - Entertainment (chatbots, games, roleplay scenarios)
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+ - Educational projects (exploring NLP, transformers, model compression)
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+
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+ #### Limitations
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+ CoffeeChat AI inherits the same limitations and biases like any other AI.
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+ It may generate **inaccurate, offensive, or biased outputs**. It should not be relied on for factual correctness or sensitive applications.
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+
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+ ---
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+
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+ ## How to Get Started with the Model
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+
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+ You can load and use CoffeeChat AI directly with Hugging Face `transformers`:
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+
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+ ```python
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+ from transformers import pipeline, set_seed
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+
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+ generator = pipeline("text-generation", model="coffeechat-ai")
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+ set_seed(42)
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+
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+ print(generator("Hello, I am CoffeeChat AI,", max_length=30, num_return_sequences=2))