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prompt-enhancer-skeleton-lora
felipemunoz/prompt-enhancer-skeleton-lora
prompt-enhancer-skeleton-lora is a machine learning model from felipemunoz. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
QLoRA adapter (rank=64) for Qwen2.5-1.5B-Instruct, fine-tuned for skeleton-of-thought prompt decomposition. Converted to GGUF LoRA format.
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Mar 28, 2026
- Updated
- Mar 28, 2026
- SHA
- d59adbf2
Model card
From the Hugging Face model README
Prompt Enhancer Skeleton-of-Thought LoRA Adapter
QLoRA adapter (rank=64) for Qwen2.5-1.5B-Instruct, fine-tuned for skeleton-of-thought prompt decomposition. Converted to GGUF LoRA format.
Training Metrics
| Parameter | Value |
|---|---|
| data_path | /home/felipe/hook_prompt_enhancer/training/data/skeleton_train.jsonl |
| data_splits | {'train': 540, 'val': 60} |
| hyperparameters | {'learning_rate': 0.001, 'batch_size': 4, 'epochs': 3, 'lora_r': 64, 'lora_alpha': 128, 'lora_dropout': 0.05, 'gradient_accumulation_steps': 1, 'weight_decay': 0.01, 'warmup_ratio': None, 'time_budget': 300} |
| model_name | Qwen/Qwen2.5-1.5B-Instruct |
| seed | 42 |
| stage | skeleton |
| timestamp | 2026-03-28T10:13:10.516948+00:00 |
| val_loss | 0.4951 |
Usage
from llama_cpp import Llama
llm = Llama(
model_path="qwen2.5-1.5b-instruct-q4_k_m.gguf",
lora_path="skeleton-lora.gguf",
)
output = llm("Decompose this prompt: ...")
License
Apache-2.0
- License
- apache-2.0
- Languages
- en
- Created
- Mar 28, 2026
- Updated
- Mar 28, 2026