LFM2.5-1.2B-Base
Collection
Pruned models based on LFM2.5-1.2B-Base
β’
16 items
β’
Updated
π― HTML-optimized | π¦ Aggressive pruning | β‘ 25% weights pruned
This model is a aggressively pruned version of LiquidAI/LFM2.5-1.2B-Base.
| Category | Original | Pruned | Change |
|---|---|---|---|
| Python | 0.0% | 0.0% | β |
| Html | 16.7% | 41.7% β | β 25.0% |
| Trivia | 91.7% | 75.0% | β 16.7% |
| Math | 75.0% | 58.3% | β 16.7% |
| Reasoning | 41.7% | 50.0% | β 8.3% |
| Medical | 66.7% | 50.0% | β 16.7% |
| Linux | 16.7% | 8.3% | β 8.3% |
| Writing | 33.3% | 58.3% | β 25.0% |
Average: 42.7% β 42.7% (+0.0%)
Html Retention: 250.0%
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))
| Property | Value |
|---|---|
| Base Model | LiquidAI/LFM2.5-1.2B-Base |
| Specialization | Html |
| Prune Mode | Aggressive |
| Weight Reduction | 25% weights pruned |
This model inherits the license from the base model.
Base model
LiquidAI/LFM2.5-1.2B-Base