EXAONE-3.5-2.4B-Instruct-python-safe
π― PYTHON-optimized | π¦ Safe pruning | β‘ 1% weights pruned
This model is a conservatively pruned version of TinyLlama/TinyLlama-1.1B-Chat-v1.0.
Performance Comparison
| Category | Original | Pruned | Change |
|---|---|---|---|
| Python | 0.0% | 0.0% β | β |
| Html | 0.0% | 0.0% | β |
| Trivia | 11.1% | 11.1% | β |
| Math | 0.0% | 0.0% | β |
| Reasoning | 0.0% | 0.0% | β |
| Medical | 0.0% | 0.0% | β |
| Linux | 0.0% | 0.0% | β |
| Writing | 0.0% | 0.0% | β |
Average: 1.4% β 1.4% (+0.0%)
Quick Start
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("CompactAI/EXAONE-3.5-2.4B-Instruct-python-safe")
tokenizer = AutoTokenizer.from_pretrained("CompactAI/EXAONE-3.5-2.4B-Instruct-python-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))
Technical Details
| Property | Value |
|---|---|
| Base Model | Qwen/Qwen2.5-0.5B,TinyLlama/TinyLlama-1.1B-Chat-v1.0,Qwen/Qwen3-1.7B,HuggingFaceTB/SmolLM3-3B,Qwen/Qwen3-0.6B,Qwen/Qwen2.5-3B-Instruct,LGAI-EXAONE/EXAONE-3.5-2.4B-Instruct |
| Specialization | Python |
| Prune Mode | Safe |
| Weight Reduction | 1% weights pruned |
License
This model inherits the license from the base model.
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Base model
TinyLlama/TinyLlama-1.1B-Chat-v1.0