Instructions to use o0Hailey-DSynth0o/Experimental_QSystem with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use o0Hailey-DSynth0o/Experimental_QSystem with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen3.5-4B-Base") model = PeftModel.from_pretrained(base_model, "o0Hailey-DSynth0o/Experimental_QSystem") - Notebooks
- Google Colab
- Kaggle
| { | |
| "baseline_test_loss": 3.591158390045166, | |
| "baseline_validation_loss": 3.4935073852539062, | |
| "epochs": 1.0, | |
| "experimental_unreviewed_candidates": 182, | |
| "final_test_loss": 2.7644448280334473, | |
| "final_validation_loss": 2.722090244293213, | |
| "gpu": "NVIDIA GeForce RTX 4070 Ti", | |
| "learning_rate": 8e-05, | |
| "method": "LoRA SFT, completion-only loss, language layers only", | |
| "precision": "bfloat16", | |
| "quantization": null, | |
| "rank": 16, | |
| "test_examples": 23, | |
| "train_examples": 182, | |
| "trainable_fraction": 0.004655995554170912, | |
| "trainable_parameters": 21233664, | |
| "validation_examples": 23, | |
| "versions": { | |
| "datasets": "4.3.0", | |
| "peft": "0.20.0", | |
| "torch": "2.11.0+cu130", | |
| "transformers": "5.5.0", | |
| "trl": "0.24.0", | |
| "unsloth": "2026.8.21" | |
| } | |
| } |