metadata
license: apache-2.0
tags:
- pruned
- python
- optimized
- wanda
base_model: Qwen/Qwen2.5-3B-Instruct
pipeline_tag: text-generation
Qwen2.5-3B-Instruct-python-aggressive
🎯 PYTHON-optimized | 📦 Aggressive pruning | ⚡ 35% weights pruned
This model is a aggressively pruned version of Qwen/Qwen2.5-3B-Instruct.
Performance Comparison
| Category | Original | Pruned | Change |
|---|---|---|---|
| Python | 92.3% | 84.6% ⭐ | ↓ 7.7% |
| Html | 40.0% | 30.0% | ↓ 10.0% |
| Trivia | 100.0% | 86.7% | ↓ 13.3% |
| Math | 100.0% | 100.0% | → |
| Reasoning | 91.7% | 83.3% | ↓ 8.3% |
| Medical | 64.3% | 35.7% | ↓ 28.6% |
| Linux | 69.2% | 61.5% | ↓ 7.7% |
| Writing | 54.5% | 36.4% | ↓ 18.2% |
Average: 76.5% → 64.8% (-11.7%)
Python Retention: 91.7%
Quick Start
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("CompactAI/Qwen2.5-3B-Instruct-python-aggressive")
tokenizer = AutoTokenizer.from_pretrained("CompactAI/Qwen2.5-3B-Instruct-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/Qwen2.5-3B-Instruct |
| Specialization | Python |
| Prune Mode | Aggressive |
| Weight Reduction | 35% weights pruned |
License
This model inherits the license from the base model.