Polish dataset card with system setup and results

README.md

@@ -13,64 +13,140 @@ pretty_name: llama.cpp ROCm Benchmarks on RX 7800 XT
 
 # llama.cpp ROCm Benchmarks on AMD Radeon RX 7800 XT
 
-This dataset contains local `llama.cpp` benchmark outputs collected on an AMD Radeon RX 7800 XT Linux system.
+This dataset contains `llama.cpp` HIP/ROCm benchmark results collected on a local AMD Radeon RX 7800 XT Linux desktop. It includes both parsed result tables and the original raw benchmark logs so the numbers can be audited.
 
-## Contents
+Dataset URL:
 
-- `llama_bench_results.csv` - parsed `llama-bench` rows.
-- `llama_bench_results.jsonl` - same parsed results as JSONL.
-- `metadata.json` - host/build metadata and notes.
-- `raw/` - original benchmark text, CSV, and log artifacts.
+```text
+https://huggingface.co/datasets/0xNeoAi/llama-cpp-rx7800xt-benchmarks
+```
+
+## Test system
+
+| Component | Value |
+|---|---|
+| OS | Ubuntu 24.04.4 LTS |
+| Kernel | Linux 6.17.0-29-generic |
+| CPU | AMD Ryzen 7 5700X3D, 8 cores / 16 threads |
+| System memory | 32 GiB RAM, 8 GiB swap |
+| GPU | AMD Radeon RX 7800 XT |
+| GPU architecture | gfx1101 |
+| VRAM reported by llama.cpp | 16,368 MiB |
+| ROCm / HIP | HIP 7.2.53211, ROCm 7.2.3 toolchain |
+| llama.cpp commit | `f12cc6d0fa96d6a3c33952f06b7439ac43a3c3fe` |
+| Backend | ROCm / HIP build of llama.cpp |
+
+## Benchmark method
+
+The normal throughput results were produced with `llama-bench` from the HIP build:
+
+```bash
+/home/neo/bench/src/llama.cpp/build-hip/bin/llama-bench \
+  -m <model.gguf> \
+  -ngl 999 \
+  -p 512 \
+  -n 128 \
+  -b 512 \
+  -ub 512 \
+  -r 5
+```
+
+Meaning of the reported tests:
+
+- `pp512`: prompt processing throughput for a 512-token prompt.
+- `tg128`: token generation throughput for 128 generated tokens.
+- Values are reported as `tokens/sec ± standard deviation` from the raw `llama-bench` output.
+
+## Files
+
+| Path | Description |
+|---|---|
+| `llama_bench_results.csv` | Parsed benchmark table rows from completed `llama-bench` outputs. |
+| `llama_bench_results.jsonl` | Same parsed results as JSONL. |
+| `metadata.json` | Host, GPU, llama.cpp commit, and notes. |
+| `raw/` | Original benchmark logs, summaries, and failed/incomplete artifacts. |
+
+## Results summary
+
+Highest parsed values in this dataset:
+
+| Metric | Best result |
+|---|---|
+| Prompt processing | 6002.21 ± 85.75 on `llama-bench-LFM2.5-8B-A1B-Q8_0.gguf-20260529-100822.txt` |
+| Token generation | 199.70 ± 1.92 on `llama-bench-LFM2.5-8B-A1B-Q5_K_M.gguf-20260529-100802.txt` |
+
+## LFM2.5-8B-A1B results
+
+| Model / quant | Size | Params | Backend | pp512 tok/s | tg128 tok/s | Raw file |
+|---|---:|---:|---|---:|---:|---|
+| lfm2moe 8B.A1B Q4_K - Medium | 4.79 GiB | 8.47 B | ROCm | 4844.05 ± 20.61 | 167.88 ± 1.81 | `llama-bench-LFM2.5-8B-A1B-Q4_K_M.gguf-20260529-100753.txt` |
+| lfm2moe 8B.A1B Q5_K - Medium | 5.61 GiB | 8.47 B | ROCm | 4625.49 ± 33.50 | 199.70 ± 1.92 | `llama-bench-LFM2.5-8B-A1B-Q5_K_M.gguf-20260529-100802.txt` |
+| lfm2moe 8B.A1B Q6_K | 6.47 GiB | 8.47 B | ROCm | 3336.65 ± 23.56 | 195.71 ± 1.27 | `llama-bench-LFM2.5-8B-A1B-Q6_K.gguf-20260529-100812.txt` |
+| lfm2moe 8B.A1B Q8_0 | 8.38 GiB | 8.47 B | ROCm | 6002.21 ± 85.75 | 171.18 ± 1.99 | `llama-bench-LFM2.5-8B-A1B-Q8_0.gguf-20260529-100822.txt` |
+
+## Qwen3-14B results
+
+| Model / quant | Size | Params | Backend | pp512 tok/s | tg128 tok/s | Raw file |
+|---|---:|---:|---|---:|---:|---|
+| qwen3 14B Q3_K - Medium | 6.81 GiB | 14.77 B | ROCm | 1004.75 ± 31.82 | 42.93 ± 0.05 | `llama-bench-Qwen3-14B-Q3_K_M.gguf-20260528-194019.txt` |
+| qwen3 14B Q4_K - Medium | 8.38 GiB | 14.77 B | ROCm | 1091.35 ± 23.42 | 36.75 ± 0.19 | `llama-bench-Qwen3-14B-Q4_K_M.gguf-20260528-112104.txt` |
+| qwen3 14B Q4_K - Medium | 8.38 GiB | 14.77 B | ROCm | 1095.16 ± 17.51 | 36.83 ± 0.02 | `llama-bench-Qwen3-14B-Q4_K_M.gguf-20260528-112415.txt` |
+| qwen3 14B Q4_K - Medium | 8.38 GiB | 14.77 B | ROCm | 1091.85 ± 17.52 | 36.76 ± 0.02 | `llama-bench-Qwen3-14B-Q4_K_M.gguf-20260528-114637.txt` |
+| qwen3 14B Q4_K - Medium | 8.38 GiB | 14.77 B | ROCm | 1086.99 ± 21.08 | 36.53 ± 0.07 | `llama-bench-Qwen3-14B-Q4_K_M.gguf-20260528-194128.txt` |
+| qwen3 14B Q5_K - Medium | 9.79 GiB | 14.77 B | ROCm | 1036.95 ± 17.77 | 41.57 ± 0.01 | `llama-bench-Qwen3-14B-Q5_K_M.gguf-20260528-194247.txt` |
+| qwen3 14B Q2_K - Medium | 5.65 GiB | 14.77 B | ROCm | 1064.51 ± 16.34 | 49.66 ± 0.08 | `llama-bench-Qwen3-14B-UD-Q2_K_XL.gguf-20260528-193947.txt` |
+| qwen3 14B Q3_K - Medium | 7.07 GiB | 14.77 B | ROCm | 1038.61 ± 18.82 | 43.11 ± 0.04 | `llama-bench-Qwen3-14B-UD-Q3_K_XL.gguf-20260528-194054.txt` |
+| qwen3 14B Q4_K - Medium | 8.53 GiB | 14.77 B | ROCm | 1087.87 ± 31.11 | 38.14 ± 0.02 | `llama-bench-Qwen3-14B-UD-Q4_K_XL.gguf-20260528-194210.txt` |
+| qwen3 14B Q5_K - Medium | 9.82 GiB | 14.77 B | ROCm | 1047.31 ± 15.11 | 40.31 ± 0.05 | `llama-bench-Qwen3-14B-UD-Q5_K_XL.gguf-20260528-194327.txt` |
+| qwen3 14B Q6_K | 12.37 GiB | 14.77 B | ROCm | 1101.35 ± 30.22 | 36.60 ± 0.05 | `llama-bench-Qwen3-14B-UD-Q6_K_XL.gguf-20260528-194409.txt` |
+
+Notes:
 
-## Important notes about incomplete/invalid runs
+- Several Qwen3-14B Q4_K_M runs are included because the benchmark was repeated during setup and validation.
+- `UD-*` and non-`UD` quants are kept with their original source labels as reported by `llama-bench`.
 
-`raw/qwen36-35b-a3b-q3km-mtp-speculative-20260529-103518.txt` is included for reproducibility, but it is not a valid throughput benchmark. All attempted `llama-speculative` runs failed immediately with:
+## Qwen3.6 27B result
+
+| Model / quant | Size | Params | Backend | pp512 tok/s | tg128 tok/s | Raw file |
+|---|---:|---:|---|---:|---:|---|
+| qwen35 27B Q3_K - Medium | 12.86 GiB | 27.32 B | ROCm | 549.09 ± 5.50 | 23.39 ± 0.03 | `llama-bench-Qwen3.6-27B-Q3_K_M.gguf-20260528-124239.txt` |
+
+## Incomplete and invalid artifacts
+
+The following raw files are included for transparency, but are not included in `llama_bench_results.csv` / `.jsonl` as completed benchmark rows:
+
+### Qwen3.6 35B A3B MTP speculative attempt
+
+File:
+
+```text
+raw/qwen36-35b-a3b-q3km-mtp-speculative-20260529-103518.txt
+```
+
+This is not a valid throughput benchmark. All attempted `llama-speculative` runs failed immediately with:
 
 ```text
 --model-draft is required
 ```
 
-Do not compare that file against normal `llama-bench` results.
-
-`raw/llama-bench-Qwen3-14B-UD-Q8_K_XL.gguf-20260528-194455.txt` contains metadata and the table header only, but no completed `pp512` or `tg128` result rows. It is preserved as raw evidence, but intentionally excluded from the parsed CSV/JSONL benchmark rows.
-
-## Parsed results
-
-| Model | Test | tok/s | Source |
-|---|---:|---:|---|
-| lfm2moe 8B.A1B Q4_K - Medium | pp512 | 4844.05 ± 20.61 | llama-bench-LFM2.5-8B-A1B-Q4_K_M.gguf-20260529-100753.txt |
-| lfm2moe 8B.A1B Q4_K - Medium | tg128 | 167.88 ± 1.81 | llama-bench-LFM2.5-8B-A1B-Q4_K_M.gguf-20260529-100753.txt |
-| lfm2moe 8B.A1B Q5_K - Medium | pp512 | 4625.49 ± 33.50 | llama-bench-LFM2.5-8B-A1B-Q5_K_M.gguf-20260529-100802.txt |
-| lfm2moe 8B.A1B Q5_K - Medium | tg128 | 199.70 ± 1.92 | llama-bench-LFM2.5-8B-A1B-Q5_K_M.gguf-20260529-100802.txt |
-| lfm2moe 8B.A1B Q6_K | pp512 | 3336.65 ± 23.56 | llama-bench-LFM2.5-8B-A1B-Q6_K.gguf-20260529-100812.txt |
-| lfm2moe 8B.A1B Q6_K | tg128 | 195.71 ± 1.27 | llama-bench-LFM2.5-8B-A1B-Q6_K.gguf-20260529-100812.txt |
-| lfm2moe 8B.A1B Q8_0 | pp512 | 6002.21 ± 85.75 | llama-bench-LFM2.5-8B-A1B-Q8_0.gguf-20260529-100822.txt |
-| lfm2moe 8B.A1B Q8_0 | tg128 | 171.18 ± 1.99 | llama-bench-LFM2.5-8B-A1B-Q8_0.gguf-20260529-100822.txt |
-| qwen3 14B Q3_K - Medium | pp512 | 1004.75 ± 31.82 | llama-bench-Qwen3-14B-Q3_K_M.gguf-20260528-194019.txt |
-| qwen3 14B Q3_K - Medium | tg128 | 42.93 ± 0.05 | llama-bench-Qwen3-14B-Q3_K_M.gguf-20260528-194019.txt |
-| qwen3 14B Q4_K - Medium | pp512 | 1091.35 ± 23.42 | llama-bench-Qwen3-14B-Q4_K_M.gguf-20260528-112104.txt |
-| qwen3 14B Q4_K - Medium | tg128 | 36.75 ± 0.19 | llama-bench-Qwen3-14B-Q4_K_M.gguf-20260528-112104.txt |
-| qwen3 14B Q4_K - Medium | pp512 | 1095.16 ± 17.51 | llama-bench-Qwen3-14B-Q4_K_M.gguf-20260528-112415.txt |
-| qwen3 14B Q4_K - Medium | tg128 | 36.83 ± 0.02 | llama-bench-Qwen3-14B-Q4_K_M.gguf-20260528-112415.txt |
-| qwen3 14B Q4_K - Medium | pp512 | 1091.85 ± 17.52 | llama-bench-Qwen3-14B-Q4_K_M.gguf-20260528-114637.txt |
-| qwen3 14B Q4_K - Medium | tg128 | 36.76 ± 0.02 | llama-bench-Qwen3-14B-Q4_K_M.gguf-20260528-114637.txt |
-| qwen3 14B Q4_K - Medium | pp512 | 1086.99 ± 21.08 | llama-bench-Qwen3-14B-Q4_K_M.gguf-20260528-194128.txt |
-| qwen3 14B Q4_K - Medium | tg128 | 36.53 ± 0.07 | llama-bench-Qwen3-14B-Q4_K_M.gguf-20260528-194128.txt |
-| qwen3 14B Q5_K - Medium | pp512 | 1036.95 ± 17.77 | llama-bench-Qwen3-14B-Q5_K_M.gguf-20260528-194247.txt |
-| qwen3 14B Q5_K - Medium | tg128 | 41.57 ± 0.01 | llama-bench-Qwen3-14B-Q5_K_M.gguf-20260528-194247.txt |
-| qwen3 14B Q2_K - Medium | pp512 | 1064.51 ± 16.34 | llama-bench-Qwen3-14B-UD-Q2_K_XL.gguf-20260528-193947.txt |
-| qwen3 14B Q2_K - Medium | tg128 | 49.66 ± 0.08 | llama-bench-Qwen3-14B-UD-Q2_K_XL.gguf-20260528-193947.txt |
-| qwen3 14B Q3_K - Medium | pp512 | 1038.61 ± 18.82 | llama-bench-Qwen3-14B-UD-Q3_K_XL.gguf-20260528-194054.txt |
-| qwen3 14B Q3_K - Medium | tg128 | 43.11 ± 0.04 | llama-bench-Qwen3-14B-UD-Q3_K_XL.gguf-20260528-194054.txt |
-| qwen3 14B Q4_K - Medium | pp512 | 1087.87 ± 31.11 | llama-bench-Qwen3-14B-UD-Q4_K_XL.gguf-20260528-194210.txt |
-| qwen3 14B Q4_K - Medium | tg128 | 38.14 ± 0.02 | llama-bench-Qwen3-14B-UD-Q4_K_XL.gguf-20260528-194210.txt |
-| qwen3 14B Q5_K - Medium | pp512 | 1047.31 ± 15.11 | llama-bench-Qwen3-14B-UD-Q5_K_XL.gguf-20260528-194327.txt |
-| qwen3 14B Q5_K - Medium | tg128 | 40.31 ± 0.05 | llama-bench-Qwen3-14B-UD-Q5_K_XL.gguf-20260528-194327.txt |
-| qwen3 14B Q6_K | pp512 | 1101.35 ± 30.22 | llama-bench-Qwen3-14B-UD-Q6_K_XL.gguf-20260528-194409.txt |
-| qwen3 14B Q6_K | tg128 | 36.60 ± 0.05 | llama-bench-Qwen3-14B-UD-Q6_K_XL.gguf-20260528-194409.txt |
-| qwen35 27B Q3_K - Medium | pp512 | 549.09 ± 5.50 | llama-bench-Qwen3.6-27B-Q3_K_M.gguf-20260528-124239.txt |
-| qwen35 27B Q3_K - Medium | tg128 | 23.39 ± 0.03 | llama-bench-Qwen3.6-27B-Q3_K_M.gguf-20260528-124239.txt |
-
-## Reproduction context
-
-See `metadata.json` and the raw files for exact commands/output where available.
+Do not compare this file against the normal `llama-bench` results.
+
+### Qwen3-14B UD-Q8_K_XL incomplete run
+
+File:
+
+```text
+raw/llama-bench-Qwen3-14B-UD-Q8_K_XL.gguf-20260528-194455.txt
+```
+
+This raw file contains benchmark metadata and the Markdown table header only; it has no completed `pp512` or `tg128` result rows. It is preserved as raw evidence, but intentionally excluded from the parsed result files.
+
+## Reproducibility notes
+
+- The raw logs include model paths, hashes where captured, exact command lines, and raw `llama-bench` tables.
+- The parsed CSV/JSONL files are derived only from completed Markdown table rows in `raw/llama-bench-*.txt`.
+- Failed or incomplete runs are documented above rather than mixed into the parsed result tables.
+
+## License
+
+The benchmark metadata and result tables in this dataset are released under the MIT license. Original model licenses remain with their respective model authors and repositories.

metadata.json

@@ -8,5 +8,17 @@
     "qwen36-35b-a3b-q3km-mtp-speculative-20260529-103518.txt is a failed/invalid MTP speculative attempt: llama-speculative required --model-draft; no throughput numbers.",
     "Raw result files are included under raw/.",
     "raw/llama-bench-Qwen3-14B-UD-Q8_K_XL.gguf-20260528-194455.txt has only metadata/table header and no completed throughput rows; it is excluded from parsed CSV/JSONL."
-  ]
+  ],
+  "os": "Ubuntu 24.04.4 LTS",
+  "kernel": "6.17.0-29-generic",
+  "cpu": "AMD Ryzen 7 5700X3D 8-Core Processor (8C/16T)",
+  "system_memory": "32 GiB RAM, 8 GiB swap",
+  "gpu_name": "AMD Radeon RX 7800 XT",
+  "gpu_arch": "gfx1101",
+  "gpu_vram_llama_cpp": "16368 MiB",
+  "hip_version": "7.2.53211-c2d9476115",
+  "rocm_toolchain": "ROCm 7.2.3",
+  "benchmark_command_template": "/home/neo/bench/src/llama.cpp/build-hip/bin/llama-bench -m <model.gguf> -ngl 999 -p 512 -n 128 -b 512 -ub 512 -r 5",
+  "parsed_result_rows": 32,
+  "updated_readme_style": "Professional dataset card with setup, methodology, grouped results, and caveats."
 }