LFM2.5-1.2B-Thinking-html-aggressive

🎯 HTML-optimized | 📦 Aggressive pruning | ⚡ 20% weights pruned

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

Performance Comparison

Category	Original	Pruned	Change
Python	45.0%	32.5%	↓ 12.5%
Html	67.5%	50.0% ⭐	↓ 17.5%
Trivia	92.5%	90.0%	↓ 2.5%
Math	97.5%	97.5%	→
Reasoning	97.5%	92.5%	↓ 5.0%
Medical	65.0%	57.5%	↓ 7.5%
Linux	47.5%	42.5%	↓ 5.0%
Writing	92.5%	87.5%	↓ 5.0%

Average: 75.6% → 68.8% (-6.9%)

Html Retention: 74.1%

Quick Start

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("CompactAI/LFM2.5-1.2B-Thinking-html-aggressive")
tokenizer = AutoTokenizer.from_pretrained("CompactAI/LFM2.5-1.2B-Thinking-html-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))