AI

Language models trained from scratch, more than two dozen others fine-tuned, and tools for working with AI agents.

Argonne base models
8
models on Hugging Face
48
datasets
47
model downloads
15,761

Argonne: language models trained from scratch

Each point is a base model, placed by the date its Hugging Face repository was created and by its size; the larger the point, the more its family of checkpoints has been downloaded.

250M 500M 1B 2B 5B Jul 2025 Jan 2026 Jul 2026 Argonne 1.0: 276M parameters, on Hugging Face since March 3, 2025, 260 downloads across 2 checkpoints 1.0 276M Argonne 1.5: 357M parameters, on Hugging Face since March 14, 2025, 167 downloads across 1 checkpoints 1.5 357M Argonne 2.0: 4.92B parameters, on Hugging Face since January 24, 2026, 132 downloads across 1 checkpoints 2.0 4.92B Argonne 2.5: 1.27B parameters, on Hugging Face since April 5, 2026, 2,913 downloads across 5 checkpoints 2.5 1.27B Argonne 3.0: 2.88B parameters, on Hugging Face since June 1, 2026, 2,727 downloads across 3 checkpoints 3.0 2.88B Argonne 3.5: 2.88B parameters, on Hugging Face since August 1, 2026, 473 downloads across 2 checkpoints 3.5 2.88B Argonne 4.0: 1.04B parameters, on Hugging Face since August 13, 2026, 744 downloads across 2 checkpoints 4.0 1.04B Argonne 4.5: 2.06B parameters, on Hugging Face since September 29, 2026, 1,566 downloads across 5 checkpoints 4.5 2.06B

Training code on GitHub Every model on Hugging Face

Every model, on one calendar

One circle per model, by the date its repository was created; the area follows its downloads to date.

Qwen fine-tunes 9
Argonne, trained from scratch 21
Llama fine-tunes 7
Nemotron 30B and tool-calling adapters 3
BERT, RoBERTa and T5 fine-tunes 8

Agents and tools

Sage

Ask your docs a question. Get an answer that links the exact section it came from.

Started
December 2025

GitHub

claudekeeper

Schedule prompts for Claude Code, and keep your sessions running through the 5-hour usage cap.

Started
July 2026
Version
0.3.1, 4 releases

GitHub PyPI

RedLLM

A GPT-style model pretrained on the classic novel Dream of the Red Chamber (红楼梦).

Started
February 2025

GitHub

hpcpilot, an agent for Slurm clusters, is on the HPC page.

Articles on language models and agents

  1. Evaluating AI Agents When Every Run Differs: Repeated Trials, Paired Comparisons and Graders
  2. Tool Calling in Language Model Agents: Designing the Interface Between a Model and Its Tools
  3. Workflow or Agent: Deciding Which Steps Belong in Code and Which Belong to the Model
  4. Why Temperature Zero Is Not Reproducible: Floating-Point Arithmetic and Batching in Language Model Inference
  5. Tuning the GPU Interconnect in Multi-Node Language Model Pretraining
  6. A Desktop Grace Blackwell Machine as Research Infrastructure: Serving and Training Benchmarks for the NVIDIA DGX Spark
  7. Evaluating an Agentic System: Three Axes, and What Auditing the Measurements Changed
  8. Argonne 3.5-base: Retraining an Unchanged Architecture With a Revised Recipe
  9. Argonne 3.5-think: From Base Model to Reasoning Model
  10. Pretraining a Language Model From Scratch: Argonne 1.0 to 3.0
  11. How I Taught a Small Language Model to Reason

Figures as of October 8, 2026: models, sizes and download counts from Hugging Face; Argonne sizes for 1.0 to 3.0 as the pretraining article reports them.