LFM2.5-1.2B-Instruct-math-aggressive

MATH-optimized | Aggressive pruning | 35% weights pruned

This model is a aggressively pruned version of LiquidAI/LFM2.5-1.2B-Instruct.

Note: Minimal quality drop detected. The Wanda pruning algorithm effectively identifies and removes less important weights while preserving model capability.

Performance Comparison

Category	Original	Pruned	Change
Python	5.0%	0.0%	↓ 5.0%
Html	15.0%	0.0%	↓ 15.0%
Trivia	90.0%	90.0%	→
Math	55.0%	55.0% ⭐	→
Reasoning	45.0%	40.0%	↓ 5.0%
Medical	80.0%	80.0%	→
Linux	50.0%	50.0%	→
Writing	15.0%	15.0%	→

Average: 44.4% -> 41.2% (-3.1%)

Math Retention: 100.0%

Quick Start

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("CompactAI/LFM2.5-1.2B-Instruct-math-aggressive")
tokenizer = AutoTokenizer.from_pretrained("CompactAI/LFM2.5-1.2B-Instruct-math-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	LiquidAI/LFM2.5-1.2B-Instruct
Specialization	Math
Prune Mode	Aggressive
Weight Reduction	35% weights pruned

License

This model inherits the license from the base model.