| Rank | Abrasive | Approx. Particle Size |
|---|---|---|
| 1 | P60 | ≈ 269 µm |
| 2 | P80 | ≈ 201 µm |
| 3 | P100 | ≈ 162 µm |
| 4 | Diamond paste 75 µm | 75 µm |
| 5 | P240 | ≈ 58 µm |
| 6 | Diamond paste 45 µm | 45 µm |
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| #!/usr/bin/env bash | |
| # ---------- USER TWEAKABLE CONSTANTS ---------- | |
| PATTERN="Wacom Intuos Pro L Pen" # substring to search for (case-insensitive) | |
| MON="DP-4" # xrandr output to map to | |
| ANCHOR="BOTTOM" # FULL|LEFT|RIGHT|TOP|BOTTOM | |
| # --------------------------------------------- | |
| set -euo pipefail | |
| # Function to get monitor information |
Use this dictionary whenever referring to LLM hyperparameters, shapes, and efficiency metrics across this project. It is a unified superset covering gpt‑oss, qwen3, qwen3‑moe, llama3, llama4, gemma3, and seed‑oss. When a feature is unused, assign the trivial setting (e.g., dense models:
Unit key: “[-]” dimensionless; “[#]” count; “[features]” channel width; “[tokens]” token length; “[bytes]”, “[FLOP/s]”, “[bytes/s]”.
-
$N_L$ — [#] Transformer block (layer) count. -
$d$ — [features] Model hidden size (residual width).
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| #!/usr/bin/env bash | |
| set -euo pipefail | |
| renice -n 19 $$ >/dev/null || true | |
| export TMPDIR="${TMPDIR:-$(pwd)/tmp}" | |
| mkdir -p "${TMPDIR}" || true | |
| # ============================================================ | |
| # Native build of PyTorch + vLLM + FlashInfer + LMCache |
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