metadata
license: apache-2.0
tags:
- pruned
- python
- optimized
- wanda
base_model: LGAI-EXAONE/EXAONE-4.0-1.2B
pipeline_tag: text-generation
EXAONE-4.0-1.2B-python-safe
🎯 PYTHON-optimized | 📦 Safe pruning | ⚡ 1% weights pruned
This model is a conservatively pruned version of LGAI-EXAONE/EXAONE-4.0-1.2B.
Performance Comparison
| Category | Original | Pruned | Change |
|---|---|---|---|
| Python | 76.9% | 76.9% ⭐ | → |
| Html | 20.0% | 20.0% | → |
| Trivia | 86.7% | 86.7% | → |
| Math | 80.0% | 80.0% | → |
| Reasoning | 75.0% | 75.0% | → |
| Medical | 42.9% | 42.9% | → |
| Linux | 23.1% | 23.1% | → |
| Writing | 54.5% | 45.5% | ↓ 9.1% |
Average: 57.4% → 56.2% (-1.1%)
Python Retention: 100.0%
Quick Start
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("CompactAI/EXAONE-4.0-1.2B-python-safe")
tokenizer = AutoTokenizer.from_pretrained("CompactAI/EXAONE-4.0-1.2B-python-safe")
inputs = tokenizer("Your prompt here", return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=100)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))
Technical Details
| Property | Value |
|---|---|
| Base Model | LGAI-EXAONE/EXAONE-4.0-1.2B |
| Specialization | Python |
| Prune Mode | Safe |
| Weight Reduction | 1% weights pruned |
License
This model inherits the license from the base model.