This repository contains training data and model artifacts from Tree of Thoughts (TOT) experimental runs with strict limits.
๐ Repository Statistics
Total Size
: 0.0 GB (0.0 MB)
Total Files
: 253
Checkpoint Files
: 38
Metadata Files
: 186
Result Files
: 25
Last Updated
: 2025-08-01 09:26:43
๐๏ธ Repository Structure
โโโ checkpoints/ # Model checkpoints and weights (38 files)
โ โโโ run_1753687216/ # First experimental run
โ โโโ run_1753689856/ # Second experimental run
โ โโโ run_1753693413/ # Third experimental run
โโโ metadata/ # Configuration files, logs, and metadata (186 files)
โ โโโ run_1753687216/ # Configuration and logs for first run
โ โโโ run_1753689856/ # Configuration and logs for second run
โ โโโ run_1753693413/ # Configuration and logs for third run
โโโ results/ # Experimental results and analysis data (25 files)
โ โโโ run_1753687216/ # Results from first run
โ โโโ run_1753689856/ # Results from second run
โ โโโ run_1753693413/ # Results from third run
โโโ README.md # This file
๐งช Experimental Runs
Overview
This repository contains artifacts from three experimental runs of Tree of Thoughts (TOT) models with strict computational limits:
Run 1753687216
: Experimental run with strict resource constraints
Run 1753689856
: Follow-up experimental run with optimized parameters
Run 1753693413
: Final experimental run with refined approach
Methodology
These runs were conducted with strict computational limits to evaluate the performance and efficiency of Tree of Thoughts approaches under resource constraints. Each run includes:
Model checkpoints at various training stages
Comprehensive metadata and configuration files
Detailed experimental results and metrics
Training logs and performance analytics
๐ Contents
Checkpoints Directory (38 files)
Contains model weights, optimizer states, and training checkpoints from each experimental run. Files include:
*.pt
,
*.pth
- PyTorch model files
*.ckpt
- Training checkpoints
*.safetensors
- SafeTensors format model weights
*.pkl
- Serialized model components and metadata
Metadata Directory (186 files)
Contains configuration files, training logs, and experimental metadata:
*.json
,
*.yaml
- Configuration files
*.log
,
*.txt
- Training and evaluation logs
*.pkl
- Serialized configuration and parameter objects
Hyperparameter settings and experimental conditions
Results Directory (25 files)
Contains experimental results, metrics, and analysis data:
*.csv
- Tabulated results and metrics
*.pkl
,
*.pickle
- Serialized Python objects with results
*.npy
,
*.npz
- NumPy arrays with numerical results
Performance analytics and comparative studies
๐ File Type Distribution
.json
: 137 files
.pkl
: 25 files
.txt
: 22 files
.pt
: 19 files
.safetensors
: 19 files
.jinja
: 19 files
.jsonl
: 10 files
.md
: 1 files
๐ Usage
To download and use these models:
from huggingface_hub import snapshot_download
# Download entire repository
repo_path = snapshot_download(repo_id="ziadrone/tot_runs_strict_limit_models")
# Download specific run
run_1_path = snapshot_download(
repo_id="ziadrone/tot_runs_strict_limit_models",
allow_patterns="checkpoints/run_1753687216/**"
)
# Load metadata for analysisimport pickle
withopen("metadata/run_1753687216/metadata.pkl", "rb") as f:
metadata = pickle.load(f)
๐ฌ Research Applications
These experimental artifacts are suitable for:
Comparative analysis of Tree of Thoughts approaches
Resource-constrained model training research
Computational efficiency studies
Reproducibility studies in AI research
Educational purposes in advanced ML courses
๐ Technical Specifications
Framework
: PyTorch
Model Type
: Tree of Thoughts (TOT)
Training Regime
: Strict computational limits
Artifact Types
: Checkpoints, metadata, results
Storage Format
: Mixed (PyTorch, Pickle, NumPy)
Total Storage
: 0.0 GB
๐ Citation
If you use these models or results in your research, please cite:
@misc{tot_runs_strict_limit_2025,
title={Tree of Thoughts Experimental Runs with Strict Limits},
author={ZiaDrone},
year={2025},
howpublished={\url{https://huggingface.co/ziadrone/tot_runs_strict_limit_models}}
}
๐ License
This repository is licensed under the Apache 2.0 License. Please refer to individual model files and documentation for specific licensing information.
๐ค Contact
For questions about these experimental runs, please open an issue in this repository or contact the maintainer.
Repository created on 2025-08-01
Total size: 0.0 GB | Files: 253 | Last updated: 2025-08-01 09:26:43
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