Jon Durbin
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 current family, spanning classification and json / tool use. Open a model detail page to compare provider routes and sourced benchmarks.
Covers 2 workload areas across 3 active tracked models; last verified 2026-05-19.
Use it for
- Teams evaluating classification and json / tool use across this lab's releases
- Comparing model families before committing to a flagship
- Migration and pricing follow-ups across 3 tracked models
Do not use it for
- Choosing a hosting provider without opening a model page for price ladders
Active models
3
Current models from this lab, excluding deprecated ones
Active families
1
Current model families from this lab
Open catalog
3 open
0 open source / 3 open weights
Lowest output price
$0.650 /1M
Cheapest tracked output across active models, per 1M tokens
Latest dated release
2023-07-15
airoboros L2 70B 2.2.1
Freshness
2026-05-19
Researched 60d ago
Information
Release cadence
Showing 3 recent dated releases (full timeline below). Latest: 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
Flagship: airoboros L2 70B 2.2.1 (best sourced coding quality-per-dollar in this portfolio).
Quality-per-dollar unavailable for this flagship — benchmark coverage or output token pricing is still missing.
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 | Openness |
|---|---|---|---|---|---|---|
| airoboros L2 70B 2.2.1 | 2023-07-15 | - | $0.45 | $0.65 | Llama 2 Community | Open weights |
| airoboros L2 13B 2.2.1 | 2023-07-15 | - | - | - | Llama 2 Community | Open weights |
| airoboros L2 7B 2.2.1 | 2023-07-15 | - | - | - | Llama 2 Community | Open weights |
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?
All tracked models are released under Open Weights.
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.