metadata
license: apache-2.0
tags:
- pruned
- math
- optimized
- wanda
base_model: LiquidAI/LFM2.5-1.2B-Instruct
pipeline_tag: text-generation
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.