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| title: AIpster |
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| # AIpster |
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| **An independent think tank on artificial intelligence, society, and the future of thought.** |
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| We're a collective of computer science friends from the late '90s who turned a WhatsApp group into a laboratory for exploring what AI is doing to how we work, build, and think. |
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| 🌐 [aipster.com](https://aipster.com) |
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| ## What we do here |
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| This Hugging Face organization is where we publish the **artifacts** of our exploration — models, datasets, and tools that come out of the experiments we write about on our blog. |
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| We're not a company. We don't sell anything. We build things to understand them, then share what we learned. |
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| ## Focus areas |
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| - 🔬 **Small specialist models** — distillation, fine-tuning, and the art of making tiny models punch above their weight |
| - 🧭 **Prompt engineering & routing** — how prompts become infrastructure, not just text |
| - 🛠️ **Local LLM workflows** — what 96 GB of VRAM can (and can't) do |
| - 🤖 **Coding agents & automation** — how AI is reshaping software development from the inside out |
| - 📖 **AI & society** — the uncomfortable conversations the industry would rather skip |
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| ## What you'll find here |
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| ### Models |
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| **[DevRouter-1.5B](https://huggingface.co/aipster/DevRouter-1.5B)** — our first release. A tiny prompt router that reads a raw developer prompt and returns a single JSON decision: a cleaned-up |
| rewrite, an `intent` / `complexity` classification, a suggested model-tier `route`, and the context the prompt forgot to include. Built on Qwen2.5-Coder-1.5B (Apache 2.0) and distilled from a |
| stronger teacher, it holds **~96% valid-JSON** and runs at **~280 tokens/s on a single RTX 3090** — small enough to sit in front of your real models and triage every prompt in 1–3 seconds. |
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| - 🧠 [aipster/DevRouter-1.5B](https://huggingface.co/aipster/DevRouter-1.5B) — fp16 weights (transformers / vLLM) |
| - 📦 [aipster/DevRouter-1.5B-GGUF](https://huggingface.co/aipster/DevRouter-1.5B-GGUF) — Q8_0 + F16, plug-n-play with Ollama / llama.cpp |
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| And one honest caveat, because we ship those too: **Q6 and below quantizations break its JSON.** A small model doing strict structured output is far more fragile than the "Q4 is fine" rule of thumb |
| suggests — ship Q8_0 or F16. |
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| ### Datasets |
| *Coming soon* — curated and synthetic datasets from our distillation experiments, released alongside the models that use them. |
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| ### Spaces |
| *Coming soon* — interactive demos of our experiments. |
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| ## Read our work |
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| - 📝 [Blog](https://aipster.com) |
| - 🧪 [How we built our distillation pipeline](https://aipster.com) *(coming soon)* |
| - 🔍 [Four GPUs, Two Weeks, and the Uncomfortable Truth About Local LLMs](https://aipster.com/four-gpus-two-weeks-and-the-uncomfortable-truth-about-local-llms/) |
| - 🤖 [I Stopped Learning n8n. I Just Told My Coding Agent What I Wanted](https://aipster.com/i-stopped-learning-n8n-i-just-told-my-coding-agent-what-i-wanted/) |
| - 💸 [Two Hours to Mass Extinction: What Coding Agents Mean for the Open-Core Business |
| Model](https://aipster.com/two-hours-to-mass-extinction-what-coding-agents-mean-for-the-open-core-business-model/) |
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| --- |
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| ## Philosophy |
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| > We build to understand. We share to learn together. |
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| Everything we publish here is open. Code, weights, datasets, methodology — including the failures. Especially the failures. |
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| ## Get in touch |
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| - 🌐 Website: [aipster.com](https://aipster.com) |
| - 📬 Email: contact@aipster.com |
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| *Independent. Curious. Slightly skeptical.* |
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