KingBright
45 lines
1.3 KiB
TOML
45 lines
1.3 KiB
TOML
[package]
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name = "aha"
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version = "0.1.6"
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edition = "2024"
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repository = "https://github.com/jhqxxx/aha"
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license = "Apache-2.0"
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description = "aha model inference library, now supports Qwen2.5VL, MiniCPM4, VoxCPM, Qwen3VL, DeepSeek-OCR, Hunyuan-OCR, PaddleOCR-VL, VoxCPM1.5, RMBG2.0"
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[dependencies]
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candle-core = { version = "0.9.1"}
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candle-nn = { version = "0.9.1"}
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candle-transformers = { version = "0.9.1"}
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candle-flash-attn = { version = "0.9.1", optional = true }
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serde = "1.0.226"
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serde_json = "1.0.145"
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anyhow = "1.0.100"
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ffmpeg-next = { version = "8.0.0", optional = true }
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image = "0.25.8"
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reqwest = { version = "0.12.23", features = ["blocking"] }
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base64 = "0.22.1"
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num = "0.4.3"
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minijinja = "2.12.0"
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tokenizers = "0.22.1"
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aha_openai_dive = { version = "1.4", features = ["stream"]}
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uuid = { version = "1.18.1", features = ["v4"]}
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chrono = "0.4.42"
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rocket = { version = "0.5.1", features = ["serde_json", "json"] }
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tokio = "1.47.1"
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hound = "3.5.1"
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clap = { version = "4.5.51", features = ["derive"] }
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modelscope = "0.1.0"
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dirs = "6.0.0"
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url = "2.5.7"
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rayon = "1.10"
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[features]
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flash-attn=["candle-flash-attn"]
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cuda=["candle-nn/cuda", "candle-core/cuda", "candle-transformers/cuda"]
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metal=["candle-nn/metal", "candle-core/metal", "candle-transformers/metal"]
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ffmpeg=["ffmpeg-next"]
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[lints.clippy]
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needless_range_loop = "allow"
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single_range_in_vec_init = "allow"
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