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1. Commits on Oct 11, 2026

   • README and v1.1 log: v1.1 results (steps 1-4)

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2. Commits on Oct 10, 2026

   • v1.1 step 4: int4-dequant, int4_bf16head, analyze_humaneval

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   • v1.1 step 3: INT4 GEMV v2 (smem x, persistent grid, bias epilogue)

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3. Commits on Oct 8, 2026

   • v1.1 step 2: batched GQA attention (2 launches per layer)

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4. Commits on Oct 7, 2026

   • v1.1 step 1: stream-ordered launches, no per-kernel sync

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   • v1.1 step 0: profile v1.0 (Nsight Systems + Compute) and document it

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5. Commits on Sep 28, 2026

   • Add v1.0 README with results and Linguist attributes

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   • Release v1.0.0: INT4 CUDA engine for Qwen2.5-Coder-0.5B with v1.0 measurements

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6. Commits on Sep 27, 2026

   • Argmax kernel

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7. Commits on Sep 17, 2026

   • Level 6 Almost Finished

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8. Commits on Sep 16, 2026

   • Split-K GEMM Kernels

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9. Commits on Sep 13, 2026

   • RMSNorm Refactor

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   • Benchmarks GEMV & GEMM Finished

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   • GEMM and refactoring benchmarks/

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10. Commits on Sep 12, 2026

    • restructure project into domain-specific modules

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    • Level 5 Finished

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    • QwenBlock C++ class and pybind11 integration

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11. Commits on Sep 11, 2026

    • Complete Tansformer Block execution (Attention + MLP layers)

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    • Attention phase forward pass (Norm, RoPE, KV-Cache, Flash-Decoding)

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12. Commits on Sep 9, 2026

    • Add MIT License to the project

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    • Level 4 Finished

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    • Level 4 - Pending finish

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13. Commits on Sep 4, 2026

    • remove exposed .env file from tracking

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    • Update .gitignore for Python files

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    • git ignore updated

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    • README.md updated correctly

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14. Commits on Aug 22, 2026

    • Debugging until Level 3

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    • Quantized GEMV Optimized Kernel & HumanEval Evaluation

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    • Quantized GEMV Naive Kernel

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15. Commits on Aug 21, 2026

    • Starting quantization INT4

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    • Optimized Kernel and benchmark comparison

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    • Naive Kernel Finished

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16. Commits on Aug 19, 2026

    • Pytorch baseline and starting Naive Kernel

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    • Initial commit

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