rob thijssen
5c2bd1a1da
Stage 2 of the candle-native pivot. Fleshes out CandleHarness with a LoadedModel registry keyed by model_id, hf-hub-backed GGUF download, and Qwen3 quantized weight construction via candle-transformers' quantized_qwen3 module. unload_model drops the entry; Drop on the candle ModelWeights frees device memory. Device selection prefers CUDA (gated behind the new `cuda` feature), falling back to CPU when CUDA is unavailable so default builds work on non-GPU hosts. The candle CUDA toolchain isn't pulled in unless `--features cuda` is passed, keeping CI green on CPU runners. Config gains a [harness.candle] block with an optional hf_cache path. HarnessRegistry::from_configs now takes HarnessSettings so per-harness config flows through. A gated tests/candle_lifecycle.rs exercises real load → list → unload → list-empty when run with `--features cuda-integration` against a host with HF network access. The default-feature test in tests/api.rs covers the wrong-harness rejection path without needing the network. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
54 lines
1.3 KiB
TOML
54 lines
1.3 KiB
TOML
[package]
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name = "neuron"
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version.workspace = true
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edition.workspace = true
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license.workspace = true
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[lib]
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name = "neuron"
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path = "src/lib.rs"
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[[bin]]
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name = "neuron"
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path = "src/main.rs"
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[features]
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default = []
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# Enables CUDA acceleration in candle. Without this feature, candle
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# compiles for CPU only and Device::new_cuda calls fall back to CPU.
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cuda = [
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"candle-core/cuda",
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"candle-nn/cuda",
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"candle-transformers/cuda",
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]
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# Reserved for GPU-only integration tests in later stages.
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cuda-integration = ["cuda"]
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[dependencies]
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cortex-core.workspace = true
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tokio.workspace = true
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axum.workspace = true
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serde.workspace = true
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serde_json.workspace = true
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reqwest.workspace = true
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tracing.workspace = true
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tracing-subscriber.workspace = true
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anyhow.workspace = true
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async-trait.workspace = true
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clap.workspace = true
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figment.workspace = true
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toml.workspace = true
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# candle for in-process inference. CUDA support is gated behind the
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# crate's `cuda` feature (default off) so the workspace builds on
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# non-CUDA hosts and CI runners.
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candle-core = "0.10.2"
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candle-nn = "0.10.2"
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candle-transformers = "0.10.2"
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tokenizers = { version = "0.22", default-features = false, features = ["onig"] }
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hf-hub = { version = "0.4", features = ["tokio"] }
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[dev-dependencies]
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tokio = { workspace = true, features = ["test-util"] }
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reqwest.workspace = true
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