2 models across 2 families · Latest: ReMM SLERP L2 13B (2023-12)
Open source collaboration in AI research
Undi95's portfolio covers 2 active models across 2 non-obsolete families, 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, 2 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
- 2 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
2
Non-deprecated SKUs linked to this researcher
Active families
2
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
2023-12-20
ReMM SLERP L2 13B
Freshness
2026-05-19
Researched 16d ago
Release cadence
Showing 2 recent dated ships (full timeline below). Latest spotlight: ReMM SLERP L2 13B (2023-12-20).
Where this lab wins
- Classification: 2 tracked models with MMLU-class moderation/safety coverage.
- JSON/tool-use: 2 tracked models with BFCL / Nexus strict-JSON routing coverage.
Flagship quality / price signal
Anchor SKU: ReMM SLERP L2 13B (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).
Undi95 is an AI research organization founded in N/A. Open source collaboration in AI research. Undi95 ships 2 model families totaling 2 models, with the most recent release ReMM SLERP L2 13B in 2023-12. Notable families include Re:MythoMax and Toppy. Use it as a stable reference for lab background, release coverage, and follow-up model pages as they are added. Researchers and evaluators. View official API endpoints, benchmark performance, and coding/agent fit for every Undi95 model.
About
Undi95 has emerged as a significant influencer in the field of AI research, particularly for their work involving generative AI and large language models (LLMs). They have carved out a niche in enhancing and fine-tuning models with a key focus on dialogue systems and creative text generation. This dedication manifests in their relentless pursuit of pushing LLM capabilities to new heights, customizing these models to perform optimally in unique applications. A hallmark of Undi95's work is their pioneering development of models like the Meta-Llama-3.1-8B-Instruct, specially optimized for multilingual dialogue. This particular model underscores their innovative use of instruction tuning techniques, which significantly improve the model's ability to comprehend and appropriately respond to varied user prompts across different languages and cultural contexts. By focusing on multilingual capabilities, Undi95 addresses the increasing need for AI systems that can efficiently transcend language barriers. Beyond technical advancements, Undi95 is active in fostering a community-centric approach, leveraging platforms such as Hugging Face to share insights and resources. They contribute thoughtfully to dialogues surrounding the ethical dimensions of AI, championing responsible innovation. Their work is marked by an emphasis on safety and alignment, ensuring that their AI developments adhere to stringent ethical standards. Their collaboration with other researchers on these fronts further amplifies their commitment to addressing risks associated with generative AI technologies. Their projects, including the Meta-Llama-3-8B-hf, are particularly celebrated for their performance across numerous benchmarks. This model integrates sophisticated techniques like reinforcement learning with human feedback (RLHF), aligning its functionality more closely with user needs, thus proving its utility in practical applications. Undi95's focus on reducing biases and enhancing user experience highlights their intent to develop AI systems that are not just potent but socially and ethically responsible. The contributions of Undi95 have notably advanced the field of generative AI and LLMs, marking them as a significant force in AI evolution. By continuously fine-tuning models, adhering to ethical development principles, and engaging proactively with the expansive AI community, Undi95 remains pivotal in the journey toward more sophisticated and conscientious AI technologies. Their ongoing research endeavors promise enduring impacts that will continue to shape the development of cutting-edge AI systems.
Featured models
| Model | Released | Context | Input price ($/1M) | Output price ($/1M) | License |
|---|---|---|---|---|---|
| ReMM SLERP L2 13B | 2023-12-20 | 4k | $0.3 | $0.3 | Unknown |
| Toppy M 7B | 2023-12-20 | 4k | $0.2 | $0.2 | Unknown |
Model families
Recent releases
- ReMM SLERP L2 13B- 2023-12-20
- Toppy M 7B- 2023-12-20
FAQ
Who founded Undi95 and when?
Undi95 was founded in N/A and is associated with N/A.
What models has Undi95 released?
Undi95 ships 2 models across 2 families: Re:MythoMax and Toppy.
Is Undi95's technology open source?
LLMReference does not yet have enough model license data to classify Undi95's releases.
Where is Undi95 headquartered?
Undi95 is headquartered in N/A.
What is Undi95 known for?
Open source collaboration in AI research. Its most prominent tracked family is Re:MythoMax.
How can I access Undi95's models?
Undi95's models are available via Fireworks AI, OpenRouter, and Together AI.
Explore related pages
Last reviewed: 2026-05-19. Data sourced from public lab announcements and provider documentation.