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| title: VibeThinker WebGPU Train + Hot-Swap LoRA | |
| emoji: 🔥 | |
| colorFrom: red | |
| colorTo: yellow | |
| sdk: static | |
| app_file: index.html | |
| pinned: false | |
| license: apache-2.0 | |
| models: | |
| - WeiboAI/VibeThinker-3B | |
| short_description: In-browser WebGPU LoRA training + hot-swap (VibeThinker-3B) | |
| # VibeThinker-3B · in-browser WebGPU training + hot-swap LoRA | |
| A static Space that runs **VibeThinker-3B** entirely in your browser tab on a | |
| custom **WebGPU int4 runtime** — no server, no upload, nothing leaves the page. | |
| What it shows off: | |
| - **WebGPU kernels** — int4 GEMV/GEMM, fused RMSNorm+QKV+RoPE, paged attention, | |
| f32 accumulation in f16 paths. The whole forward + backward stack is WGSL. | |
| - **In-browser training** — fine-tune a LoRA adapter in the tab with a *real* | |
| backward pass + AdamW over the frozen int4 base (gradient checkpointing, | |
| f32 master weights). The guided demo teaches made-up facts in ~30s. | |
| - **Hot-swap LoRA** — every trained adapter is saved locally (IndexedDB) and | |
| hot-swaps into inference instantly; export to `.safetensors` or re-load later. | |
| The model weights are streamed once from | |
| [`WeiboAI/VibeThinker-3B`](https://huggingface.co/WeiboAI/VibeThinker-3B) on the | |
| Hub and cached in your browser. A Space does **not** have to be tied to a model; | |
| the model above is linked for discovery only. | |
| > Requires a WebGPU-capable browser (recent Chrome/Edge; Safari Technology | |
| > Preview). ~6 GB weights, one-time download. | |
| Source: <https://github.com/maceip/vibethinker-webgpu-lora> | |