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authorDanilo M. <danix@danix.xyz>2026-10-16 15:38:12 +0200
committerDanilo M. <danix@danix.xyz>2026-10-16 15:38:12 +0200
commit333833ab80dcbd5434aae120c76fc7b60b897cd1 (patch)
tree70631dc6dfed674073dd6ce91aaf4f8be9748a7f
parent1d942f11c1ab94af9eefcd7fd11409f04e6b5ec7 (diff)
downloaddesktop-assistant-333833ab80dcbd5434aae120c76fc7b60b897cd1.tar.gz
desktop-assistant-333833ab80dcbd5434aae120c76fc7b60b897cd1.zip
Docs: images past the ubatch kill the model; the preset fix
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
-rw-r--r--AGENTS.md11
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+++ b/AGENTS.md
@@ -132,6 +132,17 @@ not import from it.
- With the render fixed, the same scan (now 1250x625) plus the BLUE 42
image, sent together, were answered from both in one reply, first token
at 8.4 s, ctx 1615 / 32768; the model stayed loaded.
+- **An image larger than llama-server's ubatch kills the model process.**
+ Gemma 4's vision encoder is non-causal, and llama.cpp asserts
+ `n_ubatch >= n_tokens` per image (`llama-context.cpp:1784`, in
+ `/var/log/llama-server/server.log`). Tokens are 48 px patches: an A4 scan
+ rendered at 1132x1601 became 1152x1584, 24x33 = 792 tokens, past the
+ default ubatch of 512; 1250x625 (338) had worked, 2048x1024 (903) had
+ not. The fix is the preset, not the client, since a large photo crosses
+ 512 as easily: `ubatch-size = 2048` and `batch-size = 2048` in
+ `/etc/llama-server/presets.ini`, `[Gemma4-12B-qat-mtp]` (set 2026-10-16;
+ check `/v1/models` args for `--ubatch-size 2048`). After it, the same
+ two-page scan was answered, first token at 17.7 s, ctx 2782 / 32768.
- tesseract is installed with no language data, so OCR is the model's
vision, not tesseract.
- A Unix socket path is limited to 108 bytes: a test socket under a deep