4 models across 2 families · Latest: Platypus2 70B (2023-12)
Rapid, cost-effective LLM refinement technology
garage-bAInd's portfolio covers 4 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, 4 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
- 4 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
4
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
2023-12-15
Platypus2 70B
Freshness
2026-05-19
Researched 16d ago
Release cadence
Showing 4 recent dated ships (full timeline below). Latest spotlight: Platypus2 70B (2023-12-15).
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: Platypus 30B (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).
garage-bAInd is an AI research organization founded in N/A. Rapid, cost-effective LLM refinement technology. garage-bAInd ships 2 model families totaling 4 models, with the most recent release Platypus2 70B in 2023-12. Notable families include Platypus2 and Platypus. 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 counts. View official API endpoints, benchmark performance, and coding/agent fit for every garage-bAInd model.
About
garage-bAInd is a noteworthy contributor to the field of generative AI and Large Language Models (LLMs), particularly recognized for their work in dataset creation and model development. Although their precise identity remains largely anonymous, their impact is evident through significant contributions like the Open-Platypus dataset. This dataset is specifically designed to enhance the logical reasoning capabilities of LLMs, addressing a crucial need in AI research to move beyond basic text generation towards more complex problem-solving. This focus reflects a commitment to improving AI models' abilities to perform intricate logical tasks, a frontier area in generative AI. A standout feature of the Open-Platypus dataset is its meticulous attention to detail, such as efforts to eliminate contamination from benchmark test sets. This demonstrates a robust approach to data preparation, essential for ensuring the validity and reliability of AI models trained on this dataset. garage-bAInd's methods suggest a conscientious dedication to minimizing biases and improving the overall accuracy and fairness of LLMs. Their effort in dataset curation underlines the significance of high-quality data in advancing AI research and development. The Platypus2 models, trained using the Open-Platypus dataset, showcase the practical implications of garage-bAInd's contributions. With models like garage-bAInd/Platypus2-7B available on platforms such as Hugging Face, they exemplify a commitment not only to AI innovation but also to open-source collaboration. By making these models publicly accessible, garage-bAInd has facilitated further research and development within the AI community, allowing others to build upon and enhance the foundational work laid by their projects. In conclusion, while garage-bAInd's identity remains mysterious, their influence on the progress of LLM reasoning abilities is significant. Their initiatives in dataset development and model training have provided essential resources that bolster the capacities of LLMs. Such advancements are critical as the AI field continues to explore and conquer challenges related to logical and complex reasoning tasks.
Featured models
| Model | Released | Context | Input price ($/1M) | Output price ($/1M) | License |
|---|---|---|---|---|---|
| Platypus2 70B | 2023-12-15 | - | $0.9 | $0.9 | Unknown |
| Platypus2 13B | 2023-12-15 | - | - | - | Unknown |
| Platypus2 7B | 2023-12-15 | - | - | - | Unknown |
Model families
Recent releases
- Platypus2 70B- 2023-12-15
- Platypus2 13B- 2023-12-15
- Platypus2 7B- 2023-12-15
- Platypus 30B- 2023-07-18
FAQ
Who founded garage-bAInd and when?
garage-bAInd was founded in N/A and is associated with N/A.
What models has garage-bAInd released?
garage-bAInd ships 4 models across 2 families: Platypus2 and Platypus.
Is garage-bAInd's technology open source?
LLMReference does not yet have enough model license data to classify garage-bAInd's releases.
Where is garage-bAInd headquartered?
garage-bAInd is headquartered in N/A.
What is garage-bAInd known for?
Rapid, cost-effective LLM refinement technology. Its most prominent tracked family is Platypus2.
How can I access garage-bAInd's models?
garage-bAInd's models are available via Together AI.
Explore related pages
Last reviewed: 2026-05-19. Data sourced from public lab announcements and provider documentation.