TendieLabs/Diogenes-9B-v1
Text Generation • 9B • Updated • 36
I'm a student exploring AI/ML
TendieLabs is an independent AI research project exploring open models, fine-tuning, reasoning, coding, and experimental approaches to machine intelligence.
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. |
| 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.
We believe useful AI research should be explored openly, documented carefully, and made accessible wherever practical.
Explore what we are building: tendielabs.com