Elinas
6 models across 3 families · Latest: Chronos Mistral 7B (2023-12)
Innovative AI for early education
Elinas's portfolio covers 6 active models across 3 current families, spanning general LLM work. Open a model detail page to compare provider routes and sourced benchmarks.
Covers 0 workload areas across 6 active tracked models; last verified 2026-05-19.
Use it for
- Teams evaluating general LLM work across this lab's releases
- Comparing model families before committing to a flagship
- Migration and pricing follow-ups across 6 tracked models
Do not use it for
- Choosing a hosting provider without opening a model page for price ladders
Active models
6
Current models from this lab, excluding deprecated ones
Active families
3
Current model families from this lab
Open catalog
6 open
0 open source / 6 open weights
Lowest output price
Not tracked
No provider output pricing linked yet
Latest dated release
2023-12-08
Chronos Mistral 7B
Freshness
2026-05-19
Researched 60d ago
Information
Release cadence
Showing 5 recent dated releases (full timeline below). Latest: Chronos Mistral 7B (2023-12-08).
Where this lab wins
Not enough capability or benchmark coverage yet to call strengths for this lab.
Flagship quality / price signal
Flagship: Chronos 70B (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.
Elinas is an AI research organization founded in N/A. Innovative AI for early education. Elinas ships 3 model families totaling 6 models, with the most recent release Chronos Mistral 7B in 2023-12. Notable families include Chronos Mistral, Chronos Llama 2, and Chronos Llama 1. Use it as a stable reference for lab background, release coverage, and follow-up model pages as they are. View official API endpoints, benchmark performance, and coding/agent fit for every Elinas model.
About
Elina is a prominent figure in the generative AI and large language model (LLM) space, known for her significant contributions and innovative approach to model fine-tuning. Her extensive experience is highlighted by a series of impactful projects that demonstrate her mastery in enhancing and expanding the capabilities of large models. Her work primarily revolves around pushing the boundaries of existing LLMs through advanced fine-tuning techniques and rigorous data preparation processes. One of Elina’s noteworthy achievements includes the revival and expansion of the LLaMA 1 33B model. By meticulously fine-tuning the model across several runs and incorporating an additional 500 million tokens, she was able to expand the model's context window from 2048 tokens to a remarkable 12,000 tokens. This enhancement not only extended the model’s capabilities but also significantly improved its ability to generate high-quality text across various formats. Elina’s expertise is further distinguished by her development of the L3-Aethora-15B series of models. These models were among the first to be heavily fine-tuned with 15 billion parameters, focusing on enhancing creative writing and general intelligence tasks. The introduction of the "zeroing layers" technique showcases her innovative approach to model optimization, highlighting her ability to devise unique solutions to complex challenges in AI. Beyond individual model enhancements, Elina demonstrates a deep commitment to the AI community through her work on the Aether-Lite-V1.8.1 dataset. This carefully curated resource plays a crucial role in AI training, underscoring her dedication to high-quality data curation and its vital impact on model performance. Additionally, her activity on Hugging Face—where she has developed and fine-tuned numerous models including those based on LLaMA and Mistral—reflects her broad understanding of different model architectures and applications. Elina's active engagement in the Hugging Face community, characterized by collaborative interactions and support for other users' projects, reveals her commitment to fostering a culture of openness and shared progress in the field of generative AI. Her work stands as a testament to technical excellence, innovative thinking, and a collaborative spirit that extends beyond personal projects to influence the broader AI landscape.
Featured models
| Model | Released | Context | Input price ($/1M) | Output price ($/1M) | License | Openness |
|---|---|---|---|---|---|---|
| Chronos Mistral 7B | 2023-12-08 | 4k | - | - | Llama 2 Community | Open weights |
| Chronos 70B | 2023-07-18 | - | - | - | Llama 2 Community | Open weights |
| Chronos 13B | 2023-07-18 | - | - | - | Llama 2 Community | Open weights |
Model families
Recent releases
- Chronos Mistral 7B- 2023-12-08
- Chronos 70B- 2023-07-18
- Chronos 13B- 2023-07-18
- Chronos 70B V2- 2023-07-18
- Chronos 13B V2- 2023-07-18
FAQ
Who founded Elinas and when?
Elinas was founded in N/A and is associated with N/A.
What models has Elinas released?
Elinas ships 6 models across 3 families: Chronos Mistral, Chronos Llama 2, and Chronos Llama 1.
Is Elinas's technology open source?
All tracked models are released under Open Weights.
Where is Elinas headquartered?
Elinas is headquartered in N/A.
What is Elinas known for?
Innovative AI for early education. Its most prominent tracked family is Chronos Mistral.
How can I access Elinas's models?
Elinas's provider availability is tracked on model pages as API and hosting data is verified.
Explore related pages
Last reviewed: 2026-05-19. Data sourced from public lab announcements and provider documentation.