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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 and team Bluckhut |
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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 branded, 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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