Teknium
4 models across 2 families · Latest: OpenHermes 2 Mistral 7B (2023-12)
Steerable AI models for open-source innovation
Teknium's portfolio covers 4 active models across 2 current families, spanning coding and classification. Open a model detail page to compare provider routes and sourced benchmarks.
Covers 2 workload areas across 4 active tracked models; last verified 2026-06-15.
Use it for
- Teams evaluating coding and classification across this lab's releases
- Comparing model families before committing to a flagship
- Migration and pricing follow-ups across 4 tracked models
Do not use it for
- Choosing a hosting provider without opening a model page for price ladders
Active models
4
Current models from this lab, excluding deprecated ones
Active families
2
Current model families from this lab
Open catalog
4 open
4 open source / 0 open weights
Lowest output price
$0.200 /1M
Cheapest tracked output across active models, per 1M tokens
Latest dated release
2023-12-15
OpenHermes 2 Mistral 7B
Freshness
2026-06-15
Researched 33d ago
Information
Release cadence
Showing 4 recent dated releases (full timeline below). Latest: OpenHermes 2 Mistral 7B (2023-12-15).
Where this lab wins
- Coding: 1 tracked model with SWE-bench / HumanEval-style scores.
- Classification: 1 tracked model with MMLU-class moderation/safety coverage.
Flagship quality / price signal
Flagship: OpenHermes 2.5 Mistral 7B (best sourced coding quality-per-dollar in this portfolio).
Coding task grade B · humaneval score 54.8 · cheapest tracked output $0.200 per 1M tokens
Teknium is an AI research organization founded in N/A. Steerable AI models for open-source innovation. Teknium ships 2 model families totaling 4 models, with the most recent release OpenHermes 2 Mistral 7B in 2023-12. Notable families include OpenHermes 2 and OpenHermes. Use it as a stable reference for lab background, release coverage, and follow-up model pages as they are added. View official API endpoints, benchmark performance, and coding/agent fit for every Teknium model.
About
Teknium1, known in academic and professional circles as Teknium, has established themselves as a significant figure in the field of generative AI and large language models (LLMs). They have a notable presence on GitHub, where their contributions are a testament to their dedication to open-source development. This approach not only fosters transparency but also invites collaboration from other researchers and developers, strengthening the community around LLMs 3. Their leadership in NousResearch, a company focusing on developing and releasing open-source LLMs, highlights their commitment to making cutting-edge research accessible to everyone. Teknium's expertise is evident in their development and release of several sophisticated LLMs through NousResearch's Hugging Face organization. Models such as Nous-Hermes-2-Mixtral-8x7B, Nous-Hermes-2-Yi-34B, and GPT4-x-Vicuna-13b reflect their deep understanding of various model architectures and training methodologies 3. This diverse range of models showcases their proficiency in both the theoretical and practical aspects of LLM development. Additionally, Teknium's personal page on Hugging Face presents further innovations like the OpenHermes series, underscoring their ability to independently drive the field forward. Beyond model development, Teknium has made substantial contributions to dataset creation and benchmark analysis, crucial aspects of LLM development. Their projects include GPTeacher, a modular dataset collection generated by GPT-4, and LLM-Benchmark-Logs, which compiles benchmarks of various LLMs 3. Through these initiatives, Teknium demonstrates a comprehensive understanding of the entire LLM ecosystem, from data generation to performance evaluation. Furthermore, Teknium's involvement in collaborative projects such as Open Orca illustrates their dedication to community-driven research initiatives. This collaborative spirit, combined with their technical expertise and commitment to open-source principles, positions Teknium as a pivotal contributor to the dynamic and rapidly advancing field of generative AI and LLMs.
Featured models
| Model | Released | Context | Input price ($/1M) | Output price ($/1M) | License | Openness |
|---|---|---|---|---|---|---|
| OpenHermes 2 Mistral 7B | 2023-12-15 | 32k | $0.2 | $0.2 | Apache 2.0 | Open source |
| OpenHermes 2.5 Mistral 7B | 2023-12-15 | 32k | $0.2 | $0.2 | Apache 2.0 | Open source |
| OpenHermes 13B | 2023-07-18 | 4k | - | - | Apache 2.0 | Open source |
Model families
Recent releases
- OpenHermes 2 Mistral 7B- 2023-12-15
- OpenHermes 2.5 Mistral 7B- 2023-12-15
- OpenHermes 13B- 2023-07-18
- OpenHermes 7B- 2023-07-18
FAQ
Who founded Teknium and when?
Teknium was founded in N/A and is associated with N/A.
What models has Teknium released?
Teknium ships 4 models across 2 families: OpenHermes 2 and OpenHermes.
Is Teknium's technology open source?
All tracked models are released under Open Source.
Where is Teknium headquartered?
Teknium is headquartered in N/A.
What is Teknium known for?
Steerable AI models for open-source innovation. Its most prominent tracked family is OpenHermes 2.
How can I access Teknium's models?
Teknium's models are available via Fireworks AI and Together AI.
Explore related pages
Last reviewed: 2026-06-15. Data sourced from public lab announcements and provider documentation.