mirror of
https://github.com/ruvnet/RuVector.git
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04b26c8d69
## Summary - Add PowerInfer-style sparse inference engine with precision lanes - Add memory module with QuantizedWeights and NeuronCache - Fix compilation and test issues - Demonstrated 2.9-8.7x speedup at typical sparsity levels - Published to crates.io as ruvector-sparse-inference v0.1.30 ## Key Features - Low-rank predictor using P·Q matrix factorization for fast neuron selection - Sparse FFN kernels that only compute active neurons - SIMD optimization for AVX2, SSE4.1, NEON, and WASM SIMD - GGUF parser with full quantization support (Q4_0 through Q6_K) - Precision lanes (3/5/7-bit layered quantization) - π integration for low-precision systems 🤖 Generated with [Claude Code](https://claude.com/claude-code)
42 lines
1,009 B
TOML
42 lines
1,009 B
TOML
[package]
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name = "ruvector-sparse-inference-wasm"
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version.workspace = true
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edition.workspace = true
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rust-version.workspace = true
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license.workspace = true
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description = "WebAssembly bindings for PowerInfer-style sparse inference"
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[lib]
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crate-type = ["cdylib", "rlib"]
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[features]
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default = ["console_error_panic_hook"]
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console_error_panic_hook = ["dep:console_error_panic_hook"]
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[dependencies]
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ruvector-sparse-inference = { path = "../ruvector-sparse-inference" }
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wasm-bindgen = { workspace = true }
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wasm-bindgen-futures = { workspace = true }
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js-sys = { workspace = true }
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web-sys = { workspace = true, features = [
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"console",
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"Performance",
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"Window",
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"WorkerGlobalScope",
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"Response",
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] }
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getrandom = { workspace = true }
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serde = { workspace = true }
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serde_json = { workspace = true }
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serde-wasm-bindgen = "0.6"
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console_error_panic_hook = { version = "0.1", optional = true }
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[dev-dependencies]
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wasm-bindgen-test = "0.3"
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[profile.release]
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opt-level = 3
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lto = true
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codegen-units = 1
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