Files

T

vh 58f2a22966 llama-swap: pin qwen3.5-9b + qwen3.6-35-a3b as a coexistence group

Adds a new `pinned` group with swap: false (models coexist in VRAM),
exclusive: false (group shares with other groups), persistent: true
(never unload). Each member also gets ttl: 0 so the per-model
idle-timeout can't drop them either — belt + suspenders.

Pair is currently qwen3.5-9b (~6 GB Q4) + qwen3.6-35-a3b (~29 GB Q6).
Plus the 128K KV caches, roughly 50-60 GB VRAM resident. Appropriate
for an A6000/H100-class card; verify fit after deploy.

Committed as a canonical change; push + restart still needed on
ana-ml2.

2026-04-22 09:05:19 -07:00

.env.example

Initial commit: PFI fleet inventory, stacks, tooling, and backup pipeline

2026-04-20 14:29:48 -07:00

compose.yaml

Initial commit: PFI fleet inventory, stacks, tooling, and backup pipeline

2026-04-20 14:29:48 -07:00

config.yaml

llama-swap: pin qwen3.5-9b + qwen3.6-35-a3b as a coexistence group

2026-04-22 09:05:19 -07:00

README.md

Initial commit: PFI fleet inventory, stacks, tooling, and backup pipeline

2026-04-20 14:29:48 -07:00

README.md

llama-swap

GGUF model server with on-demand model swapping. Served via llama.cpp's llama-server under the llama-swap proxy.

Server: ana-ml2 Port: 9292 (configurable via .env) GPU: both (unpinned — runtime: nvidia grants access to all devices; per-model GPU selection happens inside config.yaml)

Files

compose.yaml — canonical compose. Deployed to /opt/docker/compose/llama-swap/compose.yaml on ana-ml2.
.env.example — template for the per-host .env. Copy to .env on the server and tweak.
config.yaml — model definitions and groups. Deployed to /opt/docker/conf/llama-swap/config.yaml on the server.

Homepage labels are in the compose file under the AI Systems group, matching the convention used by vllm-qwen3 and infinity.

Deploy a fresh install

scripts/deploy-stack.sh ana-ml2 llama-swap

ssh ana-ml2 '
  cd /opt/docker/compose/llama-swap && \
  cp -n .env.example .env && \
  docker compose config && \
  docker compose up -d && \
  docker compose logs --tail=30
'

Model reference conventions

Modern entries: use -hf <user>/<repo>[:<quant>] — reads from the shared HF cache, nothing to pre-stage outside hf download
Legacy entries: use --model /models/<dir>/<file>.gguf — reads GGUFs from /tank/aimodels/llm/ (pre-HF-cache era, gradually being migrated)

New models should prefer the -hf pattern.

Deploy updates to config only

# After editing config.yaml here:
scp config.yaml ana-ml2:/opt/docker/conf/llama-swap/config.yaml
ssh ana-ml2 'cd /opt/docker/compose/llama-swap && docker compose restart'

Deploy updates to compose only

# After editing compose.yaml or .env.example here:
scripts/deploy-stack.sh ana-ml2 llama-swap
ssh ana-ml2 'cd /opt/docker/compose/llama-swap && docker compose up -d'