Sweelol/gemma3-270m-pruned-base
NewThe base version of Gemma-3 270M with weights pruned for efficiency. This is the starting point for fine-tuning.
gemma3prunedbase
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Fine-tuned Pruned Gemma-3 270M
Sweelol-ai/finetuned-pruned-gemma3-270m-dolly
A Gemma-3 270M model, pruned for efficiency and then fully fine-tuned on the Dolly-15k instruction dataset.
How to Use
To get started, install the `transformers` library:
pip install transformersThen, use the following snippet to load the model:
from transformers import AutoTokenizer, AutoModelForCausalLM
model_id = "Sweelol-ai/finetuned-pruned-gemma3-270m-dolly"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)
# Your inference code here...Available Versions
| Tag / Variant | Size | Format | Download |
|---|---|---|---|
| No specific variants listed for this model. | |||
Model Details
Teacher Model
N/A
Distillation Method
Knowledge Distillation (Logits)
Training Dataset
Flickr30k (Conceptual)
Primary Task
Multimodal Generation
Performance Metrics (Example)
| Metric | Student Model | Teacher Model |
|---|---|---|
| Model Size | ~270MB | 8.5GB |
| BLEU Score | 28.5 | 30.1 |