Falcon-H1-Tiny-90M-Instruct
Collection
Pruned models based on tiiuae/Falcon-H1-Tiny-90M-Instruct
β’
16 items
β’
Updated
MATH-optimized | Safe pruning | 25% weights pruned
This model is a conservatively pruned version of tiiuae/Falcon-H1-Tiny-90M-Instruct.
Pruning Alert: The benchmarks show virtually NO quality drop! This isn't a bug -- it is a feature. The Wanda pruning algorithm is so effective at identifying unimportant weights that it can remove a large percentage of parameters without affecting performance. Think of it like pruning dead leaves from a tree -- the tree does not miss them because they were not doing anything anyway!
| Category | Original | Pruned | Change |
|---|---|---|---|
| Python | 0.0% | 0.0% | β |
| Html | 0.0% | 0.0% | β |
| Trivia | 30.0% | 30.0% | β |
| Math | 55.0% | 55.0% β | β |
| Reasoning | 20.0% | 20.0% | β |
| Medical | 5.0% | 5.0% | β |
| Linux | 15.0% | 15.0% | β |
| Writing | 0.0% | 0.0% | β |
Average: 15.6% -> 15.6% (+0.0%)
Math Retention: 100.0%
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("CompactAI/Falcon-H1-Tiny-90M-Instruct-math-safe")
tokenizer = AutoTokenizer.from_pretrained("CompactAI/Falcon-H1-Tiny-90M-Instruct-math-safe")
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 | Math |
| Prune Mode | Safe |
| Weight Reduction | 25% weights pruned |
This model inherits the license from the base model.
Base model
tiiuae/Falcon-H1-Tiny-90M-Instruct