Initial upload: SmolLM2-360M WebGPU

README.md

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+---
+license: apache-2.0
+base_model: HuggingFaceTB/SmolLM2-360M-Instruct
+tags:
+  - smollm2
+  - webgpu
+  - browser-inference
+  - strix-halo
+  - amd
+  - unified-memory
+  - tiny-model
+pipeline_tag: text-generation
+---
+
+# SmolLM2-360M on WebGPU
+
+**HuggingFace's tiny 360M parameter model running in browser WebGPU.**
+
+369 MB Q8_0 quantization. Loads in under 2 seconds. Generates instantly.
+
+Built and tested on AMD Strix Halo (Radeon 8060S iGPU, 64GB unified memory).
+
+## Quick Start
+
+1. Download Q8_0 GGUF from [bartowski](https://huggingface.co/bartowski/SmolLM2-360M-Instruct-GGUF)
+2. Place in `model_splits/` (no splitting needed — single file)
+3. `node serve.js` (port 8180)
+4. Open `http://localhost:8180` in Chrome
+
+## Use Cases
+
+- Lightweight chat and Q&A
+- Classification and summarization
+- Edge/IoT inference
+- Testing and prototyping
+
+## Hardware
+
+Any WebGPU-capable device. Tested on AMD Strix Halo but works on much smaller hardware too. The model is only 369 MB — it fits anywhere.
+
+## Why This Package
+
+Part of a series making popular models available on WebGPU for AMD unified memory AI PCs. WebGPU bypasses broken ROCm and routes through the gaming driver stack.
+
+## Credits
+
+Built by Joshua (LJTSG) and Claude.
+
+Co-Authored-By: Claude <noreply@anthropic.com>