metadata
license: apache-2.0
tags:
- pruned
- python
- optimized
- wanda
base_model: Qwen/Qwen2.5-0.5B
pipeline_tag: text-generation
Qwen2.5-0.5B-python-aggressive
🎯 PYTHON-optimized | 📦 Aggressive pruning | ⚡ 1% weights pruned
This model is a aggressively pruned version of Qwen/Qwen2.5-0.5B.
Performance Comparison
| Category | Original | Pruned | Change |
|---|---|---|---|
| Python | 0.0% | 0.0% ⭐ | → |
| Html | 0.0% | 0.0% | → |
| Trivia | 100.0% | 100.0% | → |
| Math | 66.7% | 66.7% | → |
| Reasoning | 66.7% | 66.7% | → |
| Medical | 66.7% | 66.7% | → |
| Linux | 33.3% | 33.3% | → |
| Writing | 33.3% | 50.0% | ↑ 16.7% |
Average: 45.8% → 47.9% (+2.1%)
Quick Start
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("CompactAI/Qwen2.5-0.5B-python-aggressive")
tokenizer = AutoTokenizer.from_pretrained("CompactAI/Qwen2.5-0.5B-python-aggressive")
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 | Qwen/Qwen2.5-0.5B |
| Specialization | Python |
| Prune Mode | Aggressive |
| Weight Reduction | 1% weights pruned |
License
This model inherits the license from the base model.