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README.md
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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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license: apache-2.0
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datasets:
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- openwebtext
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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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co2_eq_emissions: 149200
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---
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# CoffeeChat AI ☕
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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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CoffeeChat AI can be used to generate text for creative, academic, or entertainment purposes.
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---
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## Model Details
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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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## Uses, Limitations, and Risks
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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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#### 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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## How to Get Started with the Model
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You can load and use CoffeeChat AI directly with Hugging Face `transformers`:
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```python
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from transformers import pipeline, set_seed
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generator = pipeline("text-generation", model="coffeechat-ai")
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set_seed(42)
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print(generator("Hello, I am CoffeeChat AI,", max_length=30, num_return_sequences=2))
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