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The Colonel, the TendieLabs mascot with a green visor

Intelligence, Without the Ordinary.

TendieLabs is an independent AI research project exploring open models, fine-tuning, reasoning, coding, and experimental approaches to machine intelligence.

Website · Models · Research · About


Built to Experiment

We adapt existing architectures, post-train them on focused tasks, and document what actually works on practical hardware. No hype, no inflated benchmarks.

Focus What it means
Model development Fine-tuning, post-training, and specialization on verified open bases (LoRA, QLoRA, GGUF).
Reasoning and coding Structured reasoning, code generation, and problem-solving, with an eye toward STEM and diagram synthesis.
Local intelligence Practical inference on consumer GPUs. Quantized builds that run at usable speeds.

From the Lab

Model Base Architecture Focus
Fred 42B Qwen3 42B A3B Grande MoE Mermaid diagrams, database modeling, STEM
Fred 35B A3B (GGUF) Qwen3.5 35B A3B MoE Mermaid diagrams, ER diagrams, STEM
Fred 7B OLMo 3 7B Think Dense Mermaid diagrams, reasoning
Frank 9B (GGUF) Qwen3.5 9B Dense General reasoning, coding, writing
Frank 26B A4B (GGUF) Gemma 4 26B A4B MoE Code generation, debugging, code review
Capybara 31B (GGUF) Gemma 4 31B Dense Assistant and orchestrator (beta)

EXL3 6.0 bpw quants: Swift 1.5 27B, Swift 1.5 27B Uncensored, Arete 27B MTP

Datasets: Tender Mermaid Training V1 and V2, the in-house Mermaid corpora behind the Fred family.

Good Research Starts With Curiosity.

We believe useful AI research should be explored openly, documented carefully, and made accessible wherever practical.

Explore what we are building: tendielabs.com