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license: apache-2.0
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---
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license: apache-2.0
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datasets:
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- TendieLabs/Tender_Mermaid_Training_V2
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- crownelius/Opus-4.6-Reasoning-2100x-formatted
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- microsoft/rStar-Coder
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language:
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- en
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base_model:
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- allenai/Olmo-3-7B-Think
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---
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**Fred 7B** is a general-purpose reasoning model built on [OLMo-3-7B-Think](https://huggingface.co/allenai/Olmo-3-7B-Think), developed by [Tendie Labs](https://huggingface.co/TendieLabs). It continues the Fred model lineage — following Fred 32B and Fred 42B — with a focus on STEM reasoning and structured diagram generation.
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Fred 7B was trained on **Tender Mermaid V2**, an updated and improved version of the dataset pipeline used for Fred 32B and Fred 42B — meaning its Mermaid.js capabilities are built on a stronger foundation than the larger models despite the smaller parameter count. Portions of the training dataset were generated with the assistance of [Fred-35B-A3B](https://huggingface.co/TendieLabs/Fred-35B-A3B), Tendie Labs' own MoE model, making this a dataset refined within the Fred lineage itself. It also incorporates reasoning-focused and code-oriented data to improve general problem-solving performance at the 7B scale.
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## Intended Use
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Fred 7B is well-suited for tasks involving:
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- Mermaid.js diagram generation (flowcharts, sequence diagrams, ERDs, etc.)
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- STEM reasoning and structured problem-solving
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- Code generation and technical explanation
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## Training Data
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- `TendieLabs/Tender_Mermaid_Training_V2` — Tendie Labs' in-house Mermaid diagram dataset, partially generated with [Fred-35B-A3B](https://huggingface.co/TendieLabs/Fred-35B-A3B)
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- `crownelius/Opus-4.6-Reasoning-2100x-formatted` — reasoning-focused instruction data
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- `microsoft/rStar-Coder` — code reasoning data from Microsoft
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