llama-server holds 7.9GB RSS for a 1.1GB model, and its startup log goes nowhere #103
@@ -251,6 +251,7 @@ func run(args []string) error {
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Listen: cfg.Phraser.Listen,
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NGpuLayers: cfg.Phraser.NGpuLayers,
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NCtx: cfg.Phraser.NCtx,
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CacheRAMMiB: cacheRAMMiB(cfg.Phraser.CacheRAMMiB),
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Timeout: time.Duration(cfg.Phraser.Timeout),
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LLMNudges: cfg.Phraser.LLMNudges,
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ContextBlock: contextBlockFn(cfg, time.Now),
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@@ -525,6 +526,7 @@ func run(args []string) error {
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Listen: cfg.Phraser.Listen,
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NGpuLayers: cfg.Phraser.NGpuLayers,
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NCtx: cfg.Phraser.NCtx,
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CacheRAMMiB: cacheRAMMiB(cfg.Phraser.CacheRAMMiB),
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Timeout: time.Duration(cfg.Phraser.Timeout),
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LLMNudges: cfg.Phraser.LLMNudges,
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ContextBlock: contextBlockFn(cfg, time.Now),
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@@ -788,6 +790,22 @@ func personaFacts(cfg *config.Config) persona.Facts {
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return f
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}
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// cacheRAMMiB resolves phraser.cache_ram_mib into the phraser's field. Unset
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// means 512 MiB and not "whatever the server does", because the server's own
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// default is 8 GiB of prompt cache and that is what put 7.9 GB of RSS and half
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// a gigabyte of swap on homesrv for a 1.1 GB model. A negative value is the
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// deliberate opt-out: no flag is passed, the server's default applies, and the
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// operator owns the consequence.
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func cacheRAMMiB(configured int) int {
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if configured == 0 {
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return 512
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}
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if configured < 0 {
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return 0
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}
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return configured
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}
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// contextBlockFn returns the per-turn renderer of the shared context block.
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// Per turn, not once at startup, because the block states the current time.
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func contextBlockFn(cfg *config.Config, now func() time.Time) func() string {
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@@ -20,6 +20,7 @@
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"bin_path": "llama-server",
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"n_gpu_layers": 99,
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"n_ctx": 4096,
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"cache_ram_mib": 512,
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"timeout": "60s",
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"llm_nudges": false
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},
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@@ -0,0 +1,77 @@
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# Where the resident model's 7.9GB of RSS goes (2026-08-03, homesrv)
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Measured for Vikunja #499. The deployed llama-server held 7.9GB RSS for a 1.1GB
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model file. Half a gigabyte of it was in swap, on a box that also runs
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whisper.cpp, piper and the embedder.
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## Method
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`maven-mavend-1` was stopped for the measurement, with the owner's approval.
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Its own binary then ran on the host with the exact deployed command line. That
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binary is `/opt/maven/bin/llama-server`, version `1 (4c65955)`, a Vulkan build.
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```sh
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llama-server -m /mnt/hdd1/llms/qwen3/Qwen3-1.7B-UD-Q4_K_XL.gguf \
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--host 127.0.0.1 --port 18099 -c 4096 -ngl 99 --no-webui
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```
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RSS was read from `/proc/<pid>/status` after load and after each of 8 distinct
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1521-token prompts. `smaps` of the deployed process was read first, from inside
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the container, since the host user cannot read another user's maps.
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## The cause: the prompt cache, not the weights and not the offload
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The startup log says it outright:
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```text
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srv load_model: prompt cache is enabled, size limit: 8192 MiB
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srv llama_server: n_parallel is set to auto, using n_parallel = 4 and kv_unified = true
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```
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The server saves the full KV state of every idle slot it evicts. It keeps up to
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8GiB of those states in host RAM (llama.cpp PR 16391). One saved prompt of 1521
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tokens costs 166.377 MiB. That is 112 kiB per token, exactly Qwen3-1.7B's KV
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footprint (28 layers x 2 x 1024 dims x 2 bytes).
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RSS at rest, and per distinct prompt:
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| Prompts served | RSS, default | RSS, `--cache-ram 512` |
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|---|---|---|
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| 0 (just loaded) | 443 MB | 411 MB |
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| 1 | 445 MB | 411 MB |
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| 4 | 958 MB | 929 MB |
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| 8 | 1641 MB | 932 MB |
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Uncapped, RSS climbs about 170MB per distinct prompt and does not stop until
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the 8GiB limit. Capped at 512 MiB it plateaus at 932MB from the fourth prompt
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on, with the cache holding steady at `3 prompts, 499.132 MiB` and evicting.
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The 7.9GB on the running daemon was that climb, weeks of it. Its `smaps` showed
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one 6.03GB anonymous mapping at 5.32GB resident plus a 1.45GB mapping at 1.27GB
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resident, and only 30MB of file-backed RSS.
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## The task's leading guess was wrong
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`-ngl 99` on the Vega iGPU costs almost no process RSS. A freshly loaded server
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has 95MB of anonymous RSS in total. RADV allocates device memory through the
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kernel, outside the process, and the log sees 8202 MiB free on `Vulkan0`. The
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weights are mmapped and file-backed, so they are evictable and do not pin RSS. The logit buffer is not visible in the numbers above at all.
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## Decision
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`--cache-ram 512` is now the default, wired as `phraser.cache_ram_mib` and set
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in `deploy/mavend.json`. 512 MiB caps total RSS near 1GB, an eighth of what the
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box carried. It still holds three of the 1521-token probes above. Maven's real
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routing and phrasing prompts are much shorter, so it holds more of those than
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the table suggests. `-c 4096` is untouched, as #499
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required. A negative `cache_ram_mib` passes no flag, for a llama-server too old
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to know it.
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Not changed: `n_parallel = 4`. With `kv_unified = true` the four slots share one
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4096-token KV cache, so they do not multiply it.
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The other half of #499 was that none of these lines were reachable. mavend
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scraped llama-server's stderr for the listen line and discarded it, and never
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piped stdout at all. Both streams now go to mavend's log with a `llama:` prefix.
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The last 12 startup lines go into the error when the server dies before it
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listens.
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@@ -1276,6 +1276,12 @@ type PhraserConfig struct {
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NCtx int `json:"n_ctx,omitempty"`
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Timeout Duration `json:"timeout,omitempty"`
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// CacheRAMMiB bounds llama-server's prompt cache. Omitted ⇒ 512 MiB, which
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// is what keeps the resident model near 1 GB of RSS instead of the 7.9 GB
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// measured on 2026-08-03. Set it to -1 to pass no flag at all and let the
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// server apply its own 8 GiB default. See phraser.Config.CacheRAMMiB.
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CacheRAMMiB int `json:"cache_ram_mib,omitempty"`
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// LLMNudges — let the model word nudges again. Off by default: nudges are
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// worded from hand-written Russian templates now (the model broke the
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// persona and invented units). Chat, query and reminder phrasing always go
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@@ -133,7 +133,7 @@ func DefaultConfig(modelPath string) Config {
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NCtx: 2048,
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// 512 MiB caps total RSS near 1 GB and still holds several recent prompts.
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CacheRAMMiB: 512,
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Timeout: 30 * time.Second,
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Timeout: 30 * time.Second,
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}
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}
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