Aarya2004 Claude Opus 4.8 (1M context) commited on
Commit Β·
f56d004
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Parent(s): 99ba3f1
docs(readme): NVIDIA-track framing, demo+launch links, logo thumbnail
Browse filesCo-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
README.md
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sdk: docker
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app_port: 7860
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pinned: false
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short_description: Tell it about the job. It drafts the estimate.
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tags:
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- backyard-ai
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A human-supervised, small-model agent for tradespeople: snap a job photo + voice note β a team of **local** small models forges a finished, itemized **estimate**. No cloud, runs on your machine. Build Small Hackathon entry (Backyard AI track).
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> **β³ Cold start (please wait ~30β60s on first load).** This Space scales to zero when idle,
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> so the **first** visit after a quiet period has to boot the container before the app
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> responds β you may see Hugging Face's "Building / Starting" screen, then a moment where
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See `docs/superpowers/specs/` and `docs/adr/` for the design.
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## What's real
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- **Vision** β MiniCPM-V (OpenBMB) reads job photos β observations, locally via Ollama.
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sdk: docker
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app_port: 7860
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pinned: false
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thumbnail: https://huggingface.co/spaces/build-small-hackathon/Quillwright/resolve/main/quillwright/web/img/quillwright-logo-trimmed.png
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short_description: Tell it about the job. It drafts the estimate.
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tags:
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- backyard-ai
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A human-supervised, small-model agent for tradespeople: snap a job photo + voice note β a team of **local** small models forges a finished, itemized **estimate**. No cloud, runs on your machine. Build Small Hackathon entry (Backyard AI track).
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**βΆ [Demo video](https://youtu.be/KqTJc9vYlb0)** Β· **[Launch post on X](https://x.com/APrak2022/status/2066633276379255060)**
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> **β³ Cold start (please wait ~30β60s on first load).** This Space scales to zero when idle,
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> so the **first** visit after a quiet period has to boot the container before the app
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> responds β you may see Hugging Face's "Building / Starting" screen, then a moment where
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See `docs/superpowers/specs/` and `docs/adr/` for the design.
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## Built on NVIDIA Nemotron
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Quillwright's orchestra is **NVIDIA-first** β three of the model roles run NVIDIA
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Nemotron, and the whole agent is designed around the same family scaling from a laptop to
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a GPU:
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- **Brain** (the tool-calling agent loop) β **Nemotron-3-Nano**, local _and_ hosted. This is
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the heart of the app: it decides which line items to add, the quantities, and when the
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estimate is done.
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- **Perception** (reads the job photo) and **Audio** (the voice note) β on the hosted Best
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Stack, both run **Nemotron-Omni**, one multimodal deployment serving vision and speech.
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(Locally, perception runs MiniCPM-V from OpenBMB β see _Backend resolution_.)
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The point of the build is the **same family at two tiers**:
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- **Private Stack (local / Airplane-Mode)** β **Nemotron-3-Nano 4B** via Ollama, on your
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machine, no cloud. Tuned to **~0.97 item-F1** on the eval set (`scripts/run_brain_eval.py`).
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- **Best Stack (hosted)** β **Nemotron-3-Nano 30B** + **Nemotron-Omni 30B** on Modal GPUs,
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the same agent loop with more headroom. The hosted Space runs the Best Stack live (see
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_Backend resolution_ below). Aya-Expanse (multilingual) and the fine-tuned Parse extractor
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(Document Capture) round out the orchestra.
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One agent, one tool contract β flip `FF_BACKEND` and the **Nemotron brain** moves from a 4B
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on your laptop to a 30B on a GPU without touching the agent code. Facts-from-Tools holds at
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both tiers: the model never invents a price.
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## What's real
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- **Vision** β MiniCPM-V (OpenBMB) reads job photos β observations, locally via Ollama.
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