metadata
license: apache-2.0
tags:
- pruned
- html
- optimized
- wanda
base_model: LiquidAI/LFM2.5-1.2B-Base
pipeline_tag: text-generation
LFM2.5-1.2B-Base-html-aggressive
🎯 HTML-optimized | 📦 Aggressive pruning | ⚡ 25% weights pruned
This model is a aggressively pruned version of LiquidAI/LFM2.5-1.2B-Base.
Performance Comparison
| Category | Original | Pruned | Change |
|---|---|---|---|
| Python | 0.0% | 0.0% | → |
| Html | 16.7% | 41.7% ⭐ | ↑ 25.0% |
| Trivia | 91.7% | 75.0% | ↓ 16.7% |
| Math | 75.0% | 58.3% | ↓ 16.7% |
| Reasoning | 41.7% | 50.0% | ↑ 8.3% |
| Medical | 66.7% | 50.0% | ↓ 16.7% |
| Linux | 16.7% | 8.3% | ↓ 8.3% |
| Writing | 33.3% | 58.3% | ↑ 25.0% |
Average: 42.7% → 42.7% (+0.0%)
Html Retention: 250.0%
Quick Start
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("CompactAI/LFM2.5-1.2B-Base-html-aggressive")
tokenizer = AutoTokenizer.from_pretrained("CompactAI/LFM2.5-1.2B-Base-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))
Technical Details
| Property | Value |
|---|---|
| Base Model | LiquidAI/LFM2.5-1.2B-Base |
| Specialization | Html |
| Prune Mode | Aggressive |
| Weight Reduction | 25% weights pruned |
License
This model inherits the license from the base model.