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loras/js_webgpu/README.md

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+# js_webgpu
+**Rank**: 100 | **Loss**: 4.1814
+
+WebGPU API expert. Render pipelines, compute shaders, storage buffers, canvas, animation loop.

loras/js_webgpu/adapter.pt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:254be54de03054fe5c128861f3cc335f6e6c5637b90026a2b4f3ad5081a1073d
+size 697177068

loras/js_webgpu/config.json

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+{"name": "js_webgpu", "system": "WebGPU API expert. Render pipelines, compute shaders, storage buffers, canvas, animation loop.", "rank": 100, "alpha": 200, "scaling": 2.0, "best_loss": 4.181398868560791, "train_time": 69.78686118125916, "samples": 3000, "type": "coding", "gpu": "H100 (Modal)", "by": "NiftyOracle codesymb.com"}