| --- |
| pretty_name: Maple Preview TQ2_0 CUDA Benchmarks |
| license: mit |
| size_categories: |
| - n<1K |
| tags: |
| - benchmark |
| - cuda |
| - gguf |
| - llama.cpp |
| - maple-preview |
| - tabular |
| - ternary |
| - tq2_0 |
| configs: |
| - config_name: summary |
| data_files: |
| - split: validation |
| path: data/benchmarks.jsonl |
| --- |
| |
| # Maple Preview TQ2_0 CUDA Benchmarks |
| |
| Reproducibility data for the TQ2_0 CUDA patches in |
| [`PascalAI2024/maple-preview-windows-cuda`](https://github.com/PascalAI2024/maple-preview-windows-cuda). |
| This repository contains benchmark data, patch files, hashes, and raw validation |
| evidence. It does **not** duplicate the Maple model weights. |
|
|
| ## Result |
|
|
| The fresh local A/B/B/A validation on an RTX 4080 SUPER reproduced the fused-MMQ |
| prompt-processing gain: |
|
|
| | Variant | pp512 mean | pp512 median | tg128 mean | tg128 median | Correctness | |
| |---|---:|---:|---:|---:|---:| |
| | MMQ enabled | **10,674 t/s** | **10,668 t/s** | 370.0 t/s | 374.8 t/s | 103/103 | |
| | MMQ disabled fallback | 1,457 t/s | 1,486 t/s | 376.2 t/s | 375.0 t/s | reference build | |
|
|
| The prompt path improved **7.33×** by mean. Generation was effectively unchanged |
| (the medians differ by 0.06%); that is expected because the MMQ patch targets |
| batched prompt matmuls, while batch-one generation already uses MMVQ. |
|
|
| ### Cross-architecture MMQ results |
|
|
| | GPU | CUDA arch | Host class | pp512 | tg128 | CPU-reference tests | |
| |---|---:|---|---:|---:|---:| |
| | RTX 3080 | sm_86 | Vast, unverified | 6,985.69 ± 39.85 | 342.73 ± 2.36 | 103/103 | |
| | RTX 4080 SUPER | sm_89 | local | 10,674.01 ± 100.62 | 370.04 ± 10.39 | 103/103 | |
| | RTX 5060 Ti | sm_120 | Vast, unverified | 5,738.43 ± 43.23 | 323.89 ± 1.95 | 103/103 | |
| |
| The local row is the 2026-08-09 controlled refresh on driver 610.62 and CUDA |
| 12.8. The two remote rows are the harvested 2026-08-08 Vast runs. Host |
| verification status is explicit because cheap hardware is useful evidence, not |
| a laboratory pedigree. |
| |
| ## What changed |
| |
| The seven-patch series (0001–0008, with experimental patch 0005 reverted): |
| |
| 1. Makes the existing TQ2_0 MMVQ path reachable for batch-one MoE generation. |
| 2. Replaces the scalar ternary dot product with packed signed-byte `dp4a` work. |
| 3. Enables TQ2_0 CPU-reference coverage in `test-backend-ops`. |
| 4. Specializes the standalone TQ2_0 dequant path. |
| 5. Adds TQ2_0 MMQ dispatch and template instantiation. |
| 6. Expands TQ2_0's strided packing into natural K-order signed bytes in shared |
| memory. |
| 7. Enables the fused path after the correctness gate. |
|
|
| The final MMQ loader reuses llama.cpp's existing signed-s8 DP4A/Turing-MMA |
| consumer. The important change is removal of the TQ2_0 → FP16 staging → cuBLAS |
| round trip during prompt processing. |
| |
| ## Protocol |
| |
| Local validation uses [`reproduce/05-validate-benchmark.ps1`](reproduce/05-validate-benchmark.ps1): |
| |
| 1. Refuse to run while another `llama-*` process is active. |
| 2. Warm both the MMQ and fallback builds; discard those warmups. |
| 3. Run A/B/B/A, where A is MMQ enabled and B is the patch-0007 fallback. |
| 4. Collect five built-in samples for pp512 and tg128 per invocation. |
| 5. Run the full `MUL_MAT` and `MUL_MAT_ID` CPU-reference matrices. |
| 6. Record model, binary, patch, source, driver, toolkit, and clock-state evidence. |
|
|
| Benchmark command: |
|
|
| ```text |
| llama-bench -m <MODEL> -ngl 99 -p 512 -n 128 -r 5 -t 8 -o jsonl |
| ``` |
|
|
| Model artifact: |
|
|
| - Repository: [`stamsam/maple-preview-gguf`](https://huggingface.co/stamsam/maple-preview-gguf) |
| - File: `maple-tq2_0.gguf` |
| - SHA-256: `09d219202562dbd17722dc8e3273527a021182ab7f892c2a06aac459a8f3a090` |
| - Weights are not included here. |
|
|
| Source pins: |
|
|
| - Benchmark repository commit: [`d161aeb`](https://github.com/PascalAI2024/maple-preview-windows-cuda/commit/d161aebcfad2b0278ef8a53bf6003b0066512b82) |
| - Runtime fork base: `9ee03eec62d088a117ab916bbe489e7a3872a21f` |
| - Patch hashes: [`evidence/sm89-local-20260809/manifest.json`](evidence/sm89-local-20260809/manifest.json) |
|
|
| ## Files |
|
|
| - `data/benchmarks.jsonl` — one normalized row per hardware/variant result. |
| - `evidence/sm89-local-20260809/` — controlled A/B/B/A samples, GPU state, |
| hashes, and complete correctness logs. |
| - `evidence/sm86-vast-20260808/` and `evidence/sm120-vast-20260808/` — raw |
| harvested remote results and hashes. |
| - `patches/` — the exact seven published patch files. |
| - `reproduce/05-validate-benchmark.ps1` — the local benchmark/correctness harness. |
|
|
| ## Limitations |
|
|
| - No A100/sm_80 result is claimed. That is the most useful next architecture |
| because the motivating public test used an A100. |
| - Windows WDDM clocks and desktop load affect short runs. The harness warms both |
| builds, publishes all samples, and reports mean, median, spread, minimum, and |
| maximum rather than selecting the best invocation. |
| - The Vast machines were explicitly unverified. Exact GPU, driver, CUDA, |
| model, and patch metadata are included so readers can judge the evidence. |
| - These measurements validate inference correctness and throughput. They do not |
| validate the model's coding, multilingual, reasoning, or instruction-following |
| quality. |
| - Results are specific to this Maple llama.cpp fork and TQ2_0 artifact; they are |
| not a general claim that ternary models always outperform GPUs or Q4 models. |
|
|
| ## Reuse and citation |
|
|
| Use the JSONL data for comparisons, but cite the exact record IDs and preserve |
| the host-verification and driver fields. For implementation details, issues, or |
| new hardware results, use the |
| [`maple-preview-windows-cuda` repository](https://github.com/PascalAI2024/maple-preview-windows-cuda). |
|
|
|
|
