metadata
license: apache-2.0
tags:
- pruned
- linux
- optimized
- wanda
- activation-pruning
base_model: Qwen/Qwen3-1.7B
pipeline_tag: text-generation
Qwen3-1.7B-linux-medium-light
🎯 LINUX-optimized | 📦 Medium Light pruning | ⚡ 18% weights pruned
This model is a moderate-lightly pruned version of Qwen/Qwen3-1.7B, specialized for LINUX tasks using activation-aware weight pruning (Wanda-style).
✨ Key Features
- Specialization: Optimized for Linux tasks
- Pruning Method: Wanda-style (|W| × |activation|) importance scoring
- Size Reduction: 18% weights pruned
- Use Case: Noticeable compression with good performance
📊 Performance Comparison
| Category | Original | Pruned | Change |
|---|---|---|---|
| Python | 40.0% | 60.0% | ↑ 20.0% |
| Html | 0.0% | 6.7% | ↑ 6.7% |
| Trivia | 100.0% | 100.0% | → |
| Math | 100.0% | 100.0% | → |
| Reasoning | N/A | N/A | |
| Medical | 93.3% | 93.3% | → |
| Linux | 100.0% | 100.0% ⭐ | → |
| Writing | 73.3% | 66.7% | ↓ 6.7% |
Average: 72.4% → 75.2% (+2.9%)
Linux Retention: 100.0% of original performance
🚀 Quick Start
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("CompactAI/Qwen3-1.7B-linux-medium-light")
tokenizer = AutoTokenizer.from_pretrained("CompactAI/Qwen3-1.7B-linux-medium-light")
# Example usage
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/Qwen3-1.7B |
| Specialization | Linux |
| Prune Mode | Medium Light |
| Pruning Method | Activation-based weight pruning (Wanda) |
| Weight Reduction | 18% weights pruned |
🔗 Related Models
This model is part of the Qwen3-1.7B pruned model collection. Other variants:
- Extra-light (minimal pruning)
- Light
- Medium-light
- Medium
- Medium-heavy
- Heavy
- Extra-heavy (maximum compression)
📜 License
This model inherits the license from the base model Qwen/Qwen3-1.7B.
Generated by ZANNPS [Zeto Automatic Neural Network Pruning System]