metadata
license: apache-2.0
tags:
- pruned
- math
- optimized
- wanda
base_model: LiquidAI/LFM2.5-1.2B-Base
pipeline_tag: text-generation
LFM2.5-1.2B-Base-math-aggressive
MATH-optimized | Aggressive pruning | 35% 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 | 10.0% | 0.0% | ↓ 10.0% |
| Trivia | 70.0% | 45.0% | ↓ 25.0% |
| Math | 35.0% | 15.0% ⭐ | ↓ 20.0% |
| Reasoning | 15.0% | 10.0% | ↓ 5.0% |
| Medical | 30.0% | 10.0% | ↓ 20.0% |
| Linux | 40.0% | 30.0% | ↓ 10.0% |
| Writing | 10.0% | 5.0% | ↓ 5.0% |
Average: 26.2% -> 14.4% (-11.9%)
Math Retention: 42.9%
Quick Start
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("CompactAI/LFM2.5-1.2B-Base-math-aggressive")
tokenizer = AutoTokenizer.from_pretrained("CompactAI/LFM2.5-1.2B-Base-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-Base |
| Specialization | Math |
| Prune Mode | Aggressive |
| Weight Reduction | 35% weights pruned |
License
This model inherits the license from the base model.