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claude-botandClaude Opus 5 021fd6a4ed docs(llama-server): cite the flag semantics instead of inferring them
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`llama-server --help` documents both halves of what #765 got wrong, and
it ships in the image:

    -np, --parallel N   number of server slots (default: -1, -1 = auto)
    -kvu, --kv-unified  use single unified KV buffer shared across all
                        sequences (default: enabled if number of slots
                        is auto)

So leaving --parallel unset did not merely pick a slot count, it enabled
a shared KV buffer that every slot could draw the full --ctx-size from.
That is why this server reported n_ctx_slot 16384 across four slots, and
the startup log said so outright: kv_unified = 'true'. Naming a slot
count switches that off and splits the context.

The value stays 65536. Only the reasoning in the comment changes, from an
inference drawn off two /props readings to the documented behaviour.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-09-02 16:16:16 +02:00
claude-botandClaude Opus 5 7e74b93fb2 fix(llama-server): --ctx-size is the total, so ask for 65536
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#765 claimed --ctx-size was per slot and halved the slot count to pay for
doubling it. Both halves of that were wrong. With --parallel set,
llama.cpp divides --ctx-size across the slots, so 32768 over two slots
gave 16384 each -- exactly what was there before -- and the Assist
request fails with the same message it did then:

    request (18910 tokens) exceeds the available context size (16384)

The flag does behave differently without --parallel, which is where the
wrong reading came from: the four-slot server reported n_ctx_slot equal
to --ctx-size rather than a quarter of it. Adding --parallel changed
that, and the memory reading confirms it -- the pod fell from 24979 MiB
to 21601 MiB, so total KV halved rather than holding steady.

65536 across two slots is 32768 each, and puts total KV back where it was
before #765 along with the memory that came with it.

Verify rather than assume this time:

    kubectl -n ai exec deploy/llama-server -- curl -sS \
      http://127.0.0.1:8080/props | jq .default_generation_settings.n_ctx

must report 32768.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-09-02 16:13:35 +02:00
+11 -7
View File
@@ -81,19 +81,23 @@ spec:
# every exposed name, area and floor. At 16384 the request was
# refused outright.
#
# --ctx-size is per slot, not the total: /props reports
# n_ctx_slot equal to this value while running four slots, where a
# total would have divided down to 4096. Doubling it alone would
# therefore double the KV cache, so the slot count halves in step
# and the allocation stays where it is today — 24979 MiB of the
# 32Gi limit, most of it the 19.5 GiB of weights.
# --ctx-size is the total and llama.cpp divides it across the
# slots, so 65536 over two slots is 32768 each.
#
# It does not read that way without --parallel, and the reason is
# in `llama-server --help`: --kv-unified defaults to enabled only
# "if number of slots is auto". Leaving --parallel unset therefore
# bought a single KV buffer shared across sequences, where every
# slot could draw the full --ctx-size — which is why this server
# once reported n_ctx_slot 16384 across four slots. Naming a slot
# count turns that off and splits the context instead.
#
# Two slots is what is actually in use: one holds Home Assistant's
# prompt, one holds Paperless's. A third caller would queue rather
# than evict either, which is the better failure mode given a cold
# prefill of this prompt costs around two minutes.
- --ctx-size
- "32768"
- "65536"
- --parallel
- "2"
# A micro-batch of 2048 or more makes this Vulkan/Mesa stack fail