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InferMatrixLab
system1-omni
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vela: add the 0.8B native response finishing and backbone execution on CUDA
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vela: add the 0.8B native response finishing and backbone execution on CUDA
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vela: add the 0.8B native F32 heads, scoring and span decoding
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vela: add the 0.8B native F32 heads, scoring and span decoding
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vela: add the 0.8B native F32 heads, scoring and span decoding
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vela: add the 0.8B native F32 heads, scoring and span decoding
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vela: add the 0.8B native bundle export, wire contract and token-level processing
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vela: add the 0.8B native bundle export, wire contract and token-level processing
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perf(open-jev): optimize 9B prefill while preserving native outputs
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vela: add the 0.8B native response finishing and backbone execution on CUDA
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vela: add the 0.8B native F32 heads, scoring and span decoding
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vela: add the 0.8B native F32 heads, scoring and span decoding
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vela: add the 0.8B native F32 heads, scoring and span decoding
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vela: add the 0.8B native bundle export, wire contract and token-level processing
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Merge pull request #183 from Levius-Fubuki/codex/cua-device-language-…
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vela: add the 0.8B native response finishing and backbone execution on CUDA
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vela: add the 0.8B native response finishing and backbone execution on CUDA
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perf(cua): batch screenshot questions and accelerate opt-in resize
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