theguywhosucks/mochaV1-base

Mocha ☕

Mocha is a sentence completion model designed for lightweight, fast, and creative text generation. Built with efficiency in mind, Mocha allows you to integrate natural language completion into your projects without the overhead of larger models.

---

🔥 Features

• ⚡ Lightweight – optimized for speed and deployment.
• 📝 Sentence Completion – generate contextually relevant endings for text prompts.
• 📦 Safetensors Format – stored in .safetensors for secure and efficient loading.

---

📂 Project Structure

.
├── mocha.safetensors # The model weights
├── config.json
├── generation_config.json
├── itos.json
├── stoi.json
├── logo.png          # Project logo
├── banner.png        # Project banner
└── README.md

---

🚀 Usage

You can load Mocha with 🤗 Transformers and safetensors:

from transformers import AutoTokenizer, AutoModelForCausalLM
import torch

# Load tokenizer and model
tokenizer = AutoTokenizer.from_pretrained("theguywhosucks/Mocha")
model = AutoModelForCausalLM.from_pretrained(
    "theguywhosucks/Mocha",
    torch_dtype=torch.float16
)

# Example usage
prompt = "The future of AI is"
inputs = tokenizer(prompt, return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=20)

print(tokenizer.decode(outputs[0], skip_special_tokens=True))

---

📸 Assets

---

🛠️ Requirements

• Python 3.9+
• Transformers
• Safetensors
• PyTorch

Install dependencies:

pip install torch transformers safetensors

---

📜 License

This project is licensed under the Mocha Proprietary License. Usage, distribution, and modification are restricted. Please see the LICENSE file for full details.

---

☕ Mocha – lightweight sentence completion made simple.