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- # Build Small · Hackathon Field Guide
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- The field guide and partner directory for the Build Small hackathon — a SvelteKit
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- site listing each sponsor's models, capabilities, prizes, starter Spaces and
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- support channels.
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- > Configuration reference for the Spaces metadata above:
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- > https://huggingface.co/docs/hub/spaces-config-reference
 
 
 
 
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- ## Deployment (Hugging Face Spaces · Docker)
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- This Space runs as a **Docker SDK** Space. On every push, Hugging Face builds the
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- [`Dockerfile`](./Dockerfile) and runs the resulting container, which serves the
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- app on the port declared by `app_port` (`7860`).
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- The image is a multi-stage build:
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- 1. **build stage** installs dependencies with `pnpm` and runs `pnpm run build`.
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- The app uses [`@sveltejs/adapter-node`](https://svelte.dev/docs/kit/adapter-node),
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- which emits a standalone Node server at `build/index.js`.
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- 2. **run stage** — installs production dependencies only, copies the built
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- server, and launches it as a non-root user (UID 1000, as Spaces requires).
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- The server reads `PORT` and `HOST` from the environment; the Dockerfile sets
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- `PORT=7860` and `HOST=0.0.0.0` so it binds correctly inside the Space.
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- Note: the site is fully prerendered (`prerender = true`), so the Node server is
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- mostly serving static HTML today. Docker + adapter-node leaves room to add
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- server-side routes or SSR later without changing the deploy path.
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-
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- ## Local development
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-
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- ```sh
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- pnpm install
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- pnpm run dev
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- ```
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-
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- ## Production build
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-
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- ```sh
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- pnpm run build # outputs build/ via adapter-node
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- node build/index.js # runs the server (defaults to PORT=3000)
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- ```
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-
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- ## Build the container locally
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-
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- ```sh
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- docker build -t build-small .
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- docker run --rm -p 7860:7860 build-small
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- # open http://localhost:7860
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- ```
 
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+ # Model weights
 
 
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+ | Model | HF Hub Repo | GGUF File | Runtime | Params | Size | Role |
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+ |---|---|---|---|---|---|---|
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+ | MiniCPM5-1B Q8_0 | [Abiray/MiniCPM5-1B-GGUF](https://huggingface.co/Abiray/MiniCPM5-1B-GGUF) | `minicpm5-1b-Q8_0.gguf` | llama-cpp-python | 1.08 B | ~1.1 GB | English text generation (Phase 1) |
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+ | tiny-aya-water Q4_K_M | [CohereLabs/tiny-aya-water-GGUF](https://huggingface.co/CohereLabs/tiny-aya-water-GGUF) | `tiny-aya-water-q4_k_m.gguf` | llama-cpp-python | 3.35 B | ~2.1 GB | Translation (active) |
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+ | OmniVoice Q8_0 (base + tokenizer) | [Serveurperso/OmniVoice-GGUF](https://huggingface.co/Serveurperso/OmniVoice-GGUF) | `omnivoice-base-Q8_0.gguf` + `omnivoice-tokenizer-Q8_0.gguf` | omnivoice.cpp | 0.6 B | ~950 MB | Text-to-speech |
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+ | FLUX.2-klein 4B Q4_K_M | [unsloth/FLUX.2-klein-4B-GGUF](https://huggingface.co/unsloth/FLUX.2-klein-4B-GGUF) | `flux-2-klein-4b-Q4_K_M.gguf` | diffusers | 4 B | ~2.6 GB | Image generation |
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+ [Social Media Post](https://www.linkedin.com/posts/gonzalo-gamez_buildsmallhackathon-huggingface-ai-activity-7472322421472051200-iUBa/?rcm=ACoAADjnxE4BIBmKXlLcq6ecaJUWIc8fuJGMb9g)
 
 
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+ [Demo Video](https://youtu.be/OVBDAwCTuxk)
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+ The demo works on my machine, two days to figure out how to deploy and still was stuck.
 
 
 
 
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