Codette - Falcon & Mistral Merged Model

🧠 Overview

Codette is an advanced AI assistant designed to assist users with a wide range of cognitive, creative, and analytical tasks.
This model merges Falcon-40B and Mistral-7B for optimal performance in text generation, medical analysis, and code reasoning.

⚡ Features

✅ Merges Falcon-40B & Mistral-7B for enhanced AI capabilities.
✅ Supports multi-modal text generation, medical insights, and code synthesis.
✅ Fine-tuned on high-quality datasets (Raiff1982/coredata & Raiff1982/pineco).
✅ Optimized for real-world AI applications, research, and enterprise AI.

📂 Model Details

• Base Models: Falcon-40B, Mistral-7B-v0.3
• Use Case: Text generation, code assistance, research analysis
• Dataset Sources: Custom fine-tuning on domain-specific knowledge

📖 Usage

To load Codette in Hugging Face Transformers, use:

from transformers import AutoModelForCausalLM, AutoTokenizer

model_name = "Raiff1982/Codette"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name, trust_remote_code=True)

prompt = "How can AI improve medical diagnostics?"
inputs = tokenizer(prompt, return_tensors="pt")
output = model.generate(**inputs, max_length=200)
print(tokenizer.decode(output[0], skip_special_tokens=True))

🛠 Fine-Tuning (Optional)

Codette can be further fine-tuned using Hugging Face's Trainer:

from transformers import Trainer, TrainingArguments

training_args = TrainingArguments(
    output_dir="./codette_finetuned",
    per_device_train_batch_size=8,
    per_device_eval_batch_size=8,
    num_train_epochs=3,
    evaluation_strategy="epoch",
)

trainer = Trainer(
    model=model,
    args=training_args,
    train_dataset=your_dataset,
    tokenizer=tokenizer
)

trainer.train()

📝 License

This model is released under the MIT License.

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