metadata
license: apache-2.0
tags:
- pruned
- python
- optimized
- wanda
base_model: LiquidAI/LFM2.5-1.2B-Instruct
pipeline_tag: text-generation
LFM2.5-1.2B-Instruct-python-safe
🎯 PYTHON-optimized | 📦 Safe pruning | ⚡ 1% weights pruned
This model is a conservatively pruned version of LiquidAI/LFM2.5-1.2B-Instruct.
Performance Comparison
| Category | Original | Pruned | Change |
|---|---|---|---|
| Python | 50.0% | 50.0% ⭐ | → |
| Html | 83.3% | 83.3% | → |
| Trivia | 91.7% | 91.7% | → |
| Math | 100.0% | 100.0% | → |
| Reasoning | 66.7% | 66.7% | → |
| Medical | 75.0% | 66.7% | ↓ 8.3% |
| Linux | 16.7% | 16.7% | → |
| Writing | 33.3% | 33.3% | → |
Average: 64.6% → 63.5% (-1.0%)
Python Retention: 100.0%
Quick Start
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("CompactAI/LFM2.5-1.2B-Instruct-python-safe")
tokenizer = AutoTokenizer.from_pretrained("CompactAI/LFM2.5-1.2B-Instruct-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 | LiquidAI/LFM2.5-1.2B-Instruct |
| Specialization | Python |
| Prune Mode | Safe |
| Weight Reduction | 1% weights pruned |
License
This model inherits the license from the base model.