Falcon-H1-Tiny-90M-Instruct
Collection
Pruned models based on tiiuae/Falcon-H1-Tiny-90M-Instruct
β’
16 items
β’
Updated
REASONING-optimized | Aggressive pruning | 35% weights pruned
This model is a aggressively pruned version of tiiuae/Falcon-H1-Tiny-90M-Instruct.
Note: Minimal quality drop detected. The Wanda pruning algorithm effectively identifies and removes less important weights while preserving model capability.
| Category | Original | Pruned | Change |
|---|---|---|---|
| Python | 0.0% | 0.0% | β |
| Html | 0.0% | 0.0% | β |
| Trivia | 15.0% | 15.0% | β |
| Math | 10.0% | 10.0% | β |
| Reasoning | 15.0% | 10.0% β | β 5.0% |
| Medical | 5.0% | 5.0% | β |
| Linux | 30.0% | 30.0% | β |
| Writing | 0.0% | 0.0% | β |
Average: 9.4% -> 8.8% (-0.6%)
Reasoning Retention: 66.7%
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("CompactAI/Falcon-H1-Tiny-90M-Instruct-reasoning-aggressive")
tokenizer = AutoTokenizer.from_pretrained("CompactAI/Falcon-H1-Tiny-90M-Instruct-reasoning-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 | tiiuae/Falcon-H1-Tiny-90M-Instruct |
| Specialization | Reasoning |
| Prune Mode | Aggressive |
| Weight Reduction | 35% weights pruned |
This model inherits the license from the base model.
Base model
tiiuae/Falcon-H1-Tiny-90M-Instruct