| --- |
| language: en |
| tags: |
| - coffeechat-ai |
| - text-generation |
| - gpt2 |
| - chatbot |
| - side-project |
| license: apache-2.0 |
| datasets: |
| - openwebtext |
| model-index: |
| - name: CoffeeChatAI |
| results: |
| - task: |
| type: text-generation |
| name: Text Generation |
| dataset: |
| type: wikitext |
| name: WikiText-103 |
| metrics: |
| - type: perplexity |
| name: Perplexity |
| value: 21.1 |
| co2_eq_emissions: 149200 |
| --- |
| |
| # ☕ CoffeeChatAI |
|
|
| CoffeeChatAI is a lightweight AI based Model English language model. |
| 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. |
|
|
| CoffeeChatAI can be used to generate text for creative, academic, or entertainment purposes. |
|
|
| --- |
|
|
| ## Model Details |
|
|
| - **Developed by:** Adrian Charles & Team Bluckhut |
| - **Base model:** (https://huggingface.co/topboykrepta/coffechatai) |
| - **Model type:** Transformer-based causal language model |
| - **Language:** English |
| - **Parameters:** ~1.6M |
| - **License:** Apache 2.0 |
| - **Description:** |
| CoffeeChatAI is a branded and documented, designed to serve as the backbone for the CoffeeChat project. |
| It is compact, fast, and intended for experimentation and educational side projects. |
|
|
| --- |
|
|
| ## Intended Uses |
|
|
| ✅ **Possible Applications** |
| - Writing assistance (autocompletion, idea generation, grammar help) |
| - Creative text generation (stories, poetry, dialogue) |
| - Entertainment (chatbots, games, roleplay scenarios) |
| - Educational demos (exploring transformers, model compression, and fine-tuning) |
|
|
| ⚠️ **Limitations & Risks** |
| - May produce **biased, offensive, or inaccurate content** |
| - Not suitable for tasks requiring factual correctness (e.g., news, medical, legal advice) |
| - Small size = **weaker performance** compared to larger GPT-2/GPT-3 models |
|
|
| --- |
|
|
| ## How to Use |
|
|
| You can load and use CoffeeChatAI directly with Hugging Face `transformers`: |
|
|
| ```python |
| from transformers import AutoTokenizer, AutoModelForCausalLM |
| |
| tokenizer = AutoTokenizer.from_pretrained("topboykrepta/CoffeeChatAI") |
| model = AutoModelForCausalLM.from_pretrained("topboykrepta/CoffeeChatAI") |
| |
| inputs = tokenizer("Hello, I am CoffeeChat AI,", return_tensors="pt") |
| outputs = model.generate(**inputs, max_length=30, num_return_sequences=2, do_sample=True) |
| |
| for i, output in enumerate(outputs): |
| print(f"Generated {i+1}: {tokenizer.decode(output, skip_special_tokens=True)}") |
| |
| --- |
| |
| from transformers import pipeline |
| |
| generator = pipeline("text-generation", model="topboykrepta/CoffeeChatAI") |
| print(generator("Hello, I am CoffeeChat AI,", max_length=30, num_return_sequences=2)) |
| |
| --- |
| |
| Or with the Hugging Face pipeline: |
| |
| If you use this model, please cite: |
| |
| @misc{CoffeeChatAI2025, |
| author = {Adrian Charles and Team Bluckhut}, |
| title = {CoffeeChatAI: A Tiny Chat Applications}, |
| year = {2025}, |
| publisher = {Hugging Face}, |
| howpublished = {\url{https://huggingface.co/topboykrepta/CoffeeChatAI}}, |
| } |
| |
| |
| --- |
| |
| |
