Sweelol-ai/lora-gemma3-270m-dolly
NewA Gemma-3 270M model fine-tuned on the Dolly-15k dataset using Low-Rank Adaptation (LoRA) for maximum efficiency.
gemma3lorapeft
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NewA Gemma-3 270M model fully fine-tuned on the Dolly-15k dataset, intended to be used as a "teacher" for knowledge distillation.
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Mini LLaMA Chat
sweelol/mini-llama-chat
A compact chat-tuned model, distilled from LLaMA-2 for quick interactions.
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/mini-llama-chat"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)
# Your inference code here...Available Versions
Model Details
Teacher Model
meta-llama/Llama-2-13b-chat-hf
Distillation Method
Knowledge Distillation (Logits)
Training Dataset
Flickr30k (Conceptual)
Primary Task
Multimodal Generation
Performance Metrics (Example)
| Metric | Student Model | Teacher Model |
|---|---|---|
| Model Size | 2.1GB | 8.5GB |
| BLEU Score | 28.5 | 30.1 |