🦙 TinyLlama PEFT Merged
A fully merged, production-ready TinyLlama model fine-tuned with PEFT LoRA
📌 Quick Facts
| Attribute | Value |
|---|---|
| Model Size | 2.2 GB |
| Parameters | 1.1 Billion |
| Format | PyTorch Safetensors |
| Precision | FP16 |
| Context | 2048 tokens |
| Training Framework | PEFT + TRL |
| Inference | No PEFT required |
🚀 Quick Start
from transformers import AutoTokenizer, AutoModelForCausalLM
# One-liner to load
tokenizer = AutoTokenizer.from_pretrained("arif-butt/tinyllama-peft-merged")
model = AutoModelForCausalLM.from_pretrained(
"arif-butt/tinyllama-peft-merged",
torch_dtype=torch.float16,
device_map="auto"
)
# Generate
prompt = "Q: What courses does Arif teach?\nA:"
inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
outputs = model.generate(**inputs, max_new_tokens=100)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))
📦 What's Inside
tinyllama-peft-merged/
├── model.safetensors # 2.2 GB — merged weights
├── config.json # Model architecture
├── generation_config.json # Default generation settings
├── tokenizer.json # Vocabulary (1.76 MB)
├── tokenizer_config.json # Tokenizer settings
└── special_tokens_map.json # Special tokens
No adapter files. No PEFT needed. Just load and go.
🔧 Generation Settings
outputs = model.generate(
**inputs,
max_new_tokens=150,
temperature=0.7,
top_p=0.95,
do_sample=True,
repetition_penalty=1.1,
pad_token_id=tokenizer.eos_token_id,
)
💬 Prompt Format
Q: Your question here?
A:
Example:
Q: What is deep learning?
A: Deep learning is a subset of machine learning...
Q: What is Python?
A: Python is a high-level, interpreted programming language known for its simple, readable syntax. It supports multiple programming paradigms including object-oriented, imperative, and functional programming.
Q: Explain gradient descent
A: Gradient descent is an optimization algorithm used to minimize the loss function in machine learning models. It works by iteratively moving parameters in the direction of the negative gradient.
Q: Name Arif's courses
A: Dr. Muhammad Arif Butt teaches Python Programming, Data Structures & Algorithms, Machine Learning, and Deep Learning courses.
Epoch 1: ████████████████░░░░ 0.8
Epoch 2: ████████████████████ 0.4
Epoch 3: ████████████████████ 0.05