3 models across 1 family · Latest: airoboros L2 70B 2.2.1 (2023-07)
Self-instructing AI innovation pioneer
Jon Durbin's portfolio covers 3 active models across 1 non-obsolete family, with task labels spanning classification and json / tool use. Open a model detail page to compare provider routes and sourced benchmarks.
Portfolio context: 2 decision-task tags, 3 active tracked models, latest research stamp 2026-05-19.
Use this portfolio page for
- Teams evaluating classification and json / tool use across this lab's releases
- Readers comparing families before locking a flagship SKU
- 3 tracked SKUs for migration and pricing follow-ups
Do not stop here for
- Choosing a hosting provider without opening a model page for price ladders
Active models
3
Non-deprecated SKUs linked to this researcher
Active families
1
Non-obsolete families in coverage
Open catalog
0 OSS
0 open-weight (text match)
Decision task tags
2
Mapped to the site-wide task taxonomy
Latest dated release
2023-07-15
airoboros L2 70B 2.2.1
Freshness
2026-05-19
Researched 16d ago
Release cadence
Showing 3 recent dated ships (full timeline below). Latest spotlight: airoboros L2 70B 2.2.1 (2023-07-15).
Where this lab wins
- Classification: 1 tracked model with MMLU-class moderation/safety coverage.
- JSON/tool-use: 1 tracked model with BFCL / Nexus strict-JSON routing coverage.
Flagship quality / price signal
Anchor SKU: airoboros L2 70B 2.2.1 (best sourced coding Q/$ in this portfolio).
Quality / dollar unavailable for this anchor — missing benchmark coverage and/or output token price on the cheapest ladder route (open the model detail after pricing lands).
Jon Durbin is an AI research organization founded in N/A. Self-instructing AI innovation pioneer. Jon Durbin ships 1 model family totaling 3 models, with the most recent release airoboros L2 70B 2.2.1 in 2023-07. Notable families include airoboros. Use it as a stable reference for lab background, release coverage, and follow-up model pages as they are added. Researchers and evaluators can scan. View official API endpoints, benchmark performance, and coding/agent fit for every Jon Durbin model.
About
Jon Durbin is a distinguished figure in the AI community, particularly known for his contributions to generative AI and Large Language Models (LLMs). Based in the Detroit Metropolitan Area, Durbin operates as a self-employed software engineer and AI researcher. His extensive experience as a senior applied AI researcher at Convai highlights his expertise in developing AI-powered non-player characters for video games. His academic foundation was laid at the University of Michigan-Flint, leading to a prolific career characterized by a deep-seated interest in various facets of AI. Durbin has made significant strides in AI research focused on fine-tuning models and curating datasets. He is renowned for the creation of the Airoboros dataset and associated models, pioneering a paradigm that utilizes AI-generated data for training, which often rivals the quality of human-generated data models. These models are accessible on Hugging Face, a testament to his commitment to the open-source community. Durbin's innovations don't stop there; his work on the Bagel models has set new standards in model development, emphasizing the enhancement of factual accuracy and mathematical prowess through Direct Preference Optimization (DPO). The Bagel models, inspired by the film "Everything Everywhere All at Once," showcase his unique approach to integrating diverse datasets and techniques. This reflects a broader exploration within the AI landscape of merging models to develop larger, more capable systems without the need for extensive retraining. Durbin's work is continually referenced and debated within the AI community, owing to its transformative impact. Furthermore, he is actively engaged with peers, sharing insights on platforms like LinkedIn and Buy Me a Coffee, thereby fostering a collaborative environment for AI advancements. Durbin is not only a researcher but also a thought leader, aiming to expand his digital presence through blogging and video content, further amplifying his influence in the AI domain.
Featured models
| Model | Released | Context | Input price ($/1M) | Output price ($/1M) | License |
|---|---|---|---|---|---|
| airoboros L2 70B 2.2.1 | 2023-07-15 | - | $0.45 | $0.65 | Unknown |
| airoboros L2 13B 2.2.1 | 2023-07-15 | - | - | - | Unknown |
| airoboros L2 7B 2.2.1 | 2023-07-15 | - | - | - | Unknown |
Model families
Recent releases
- airoboros L2 70B 2.2.1- 2023-07-15
- airoboros L2 13B 2.2.1- 2023-07-15
- airoboros L2 7B 2.2.1- 2023-07-15
FAQ
Who founded Jon Durbin and when?
Jon Durbin was founded in N/A and is associated with N/A.
What models has Jon Durbin released?
Jon Durbin ships 3 models across 1 family: airoboros.
Is Jon Durbin's technology open source?
LLMReference does not yet have enough model license data to classify Jon Durbin's releases.
Where is Jon Durbin headquartered?
Jon Durbin is headquartered in N/A.
What is Jon Durbin known for?
Self-instructing AI innovation pioneer. Its most prominent tracked family is airoboros.
How can I access Jon Durbin's models?
Jon Durbin's models are available via DeepInfra.
Explore related pages
Last reviewed: 2026-05-19. Data sourced from public lab announcements and provider documentation.