feat(llm-inference-multimodel): codify Phi-3.5-mini + Llama-3.1-8B GGUF staging (t_730f9584)
Adds idempotent, data-driven GGUF staging for the two new router models on
astro-orbiter alongside the production Qwen3.6-35B-A3B-UD-Q4_K_S. Both files
were already staged live (byte-exact); this commit codifies them in Ansible so
future re-runs and any new model adds are version-controlled and audit-friendly.
Changes:
- roles/llm-inference-multimodel/tasks/stage_model.yml (NEW)
Idempotent per-model task: stat -> exact byte-size guard -> conditional
get_url -> ownership/mode ensure -> notify router restart handler only on
actual download. Loops from models.yml; nothing hardcoded.
- roles/llm-inference-multimodel/tasks/models.yml
Appends the stage_model.yml loop (tagged: models) after the existing Qwen3.6
download tasks. Data driven from host_vars/astro-orbiter/vars.yml.
- roles/llm-inference-multimodel/defaults/main.yml
Adds llm_staged_models: [] default (empty = safe no-op for hosts with no
staged model list defined).
- roles/llm-inference-multimodel/handlers/main.yml
Adds 'restart llama-server-router on new GGUF' handler. Only fires when
stage_model.yml performs an actual download or corrects ownership/mode.
Normal idempotent re-runs (files already correct) do NOT fire this handler.
- host_vars/astro-orbiter/vars.yml
Adds llm_staged_models list with the two new models:
* Phi-3.5-mini-instruct-Q8_0.gguf (4,061,222,688 bytes,
bartowski/Phi-3.5-mini-instruct-GGUF)
* Meta-Llama-3.1-8B-Instruct-Q4_K_M.gguf (4,920,739,232 bytes,
bartowski/Meta-Llama-3.1-8B-Instruct-GGUF)
- playbooks/day1_deploy_llm_inference_multimodel.yml
Updates header comment: removes stale 'Semaphore broken' note, documents
the correct execution channel (Semaphore template
llm_inference_multimodel_stage_models, --tags models).
- group_vars/all/semaphore.yml
Adds llm_inference_multimodel_stage_models template entry (config-as-code).
Template is scoped to --tags models explicitly. Phase 4 (verify) is
EXCLUDED: verify.yml starts llama-server-qwen on :8002, which would collide
with the production llama-server-router.service already running on :8002.
Semaphore template created via API: project 1 / template id 19.
Execution: triggered immediately after this commit via Semaphore REST API.
This commit is contained in:
@@ -152,3 +152,28 @@ semaphore_config:
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required: true
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type: TextVar
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default_value: "all"
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- name: "llm_inference_multimodel_stage_models"
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description: >-
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Stage additional GGUF models into /opt/models on astro-orbiter via the
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llm-inference-multimodel role (--tags models only). Idempotent: skips
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files already present at the correct byte size. Notifies the
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llama-server-router restart handler ONLY when a new GGUF is actually
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downloaded. Does NOT touch Phase 4 (verify) or the legacy
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llama-server-qwen service. Safe to run repeatedly.
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app: ansible
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playbook: ansible/playbooks/day1_deploy_llm_inference_multimodel.yml
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inventory: production
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repository: homelab
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environment: default
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vault_password: ansible-vault-pass
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arguments: '["--tags","models","--diff"]'
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# Scoped to --tags models:
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# Phase 0 (discover) -- skipped (no tag)
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# Phase 1 (models) -- RUN (idempotent GGUF staging via stage_model.yml)
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# Phase 2 (systemd) -- skipped
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# Phase 3 (firewall) -- skipped
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# Phase 4 (verify) -- SKIPPED (collision risk: verify.yml would start
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# llama-server-qwen on :8002, conflicting with the
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# production llama-server-router.service. Excluded
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# here deliberately. See t_730f9584.)
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@@ -18,3 +18,24 @@ common_root_pv: /dev/sda3
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common_root_vg: ubuntu-vg
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common_root_lv: ubuntu-lv
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# --- Staged GGUF models for the llama.cpp router (:8002) ---------------------
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# Data-driven list consumed by roles/llm-inference-multimodel tasks/models.yml
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# (loop -> tasks/stage_model.yml). Each entry is idempotently staged into
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# /opt/models: stat + EXACT-size check vs HF manifest; skip (no download, no
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# restart) when present + size matches. Source repos are public bartowski GGUFs
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# on HuggingFace (no auth). A router restart is notified ONLY when a new GGUF
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# is actually downloaded.
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# Added 2026-08-12 (War Machine): codify Phi-3.5-mini-instruct-Q8_0 and
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# Meta-Llama-3.1-8B-Instruct-Q4_K_M as router models alongside the production
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# Qwen3.6-35B-A3B-UD-Q4_K_S. The live files were already present/correct on
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# astro-orbiter; this pass codifies them. Future adds = append to this list.
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llm_staged_models:
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- filename: "Phi-3.5-mini-instruct-Q8_0.gguf"
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url: "https://huggingface.co/bartowski/Phi-3.5-mini-instruct-GGUF/resolve/main/Phi-3.5-mini-instruct-Q8_0.gguf"
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size_bytes: 4061222688
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source_repo: "bartowski/Phi-3.5-mini-instruct-GGUF"
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- filename: "Meta-Llama-3.1-8B-Instruct-Q4_K_M.gguf"
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url: "https://huggingface.co/bartowski/Meta-Llama-3.1-8B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-8B-Instruct-Q4_K_M.gguf"
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size_bytes: 4920739232
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source_repo: "bartowski/Meta-Llama-3.1-8B-Instruct-GGUF"
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@@ -11,9 +11,13 @@
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# # or scope to specific phases:
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# ansible-playbook -i inventory.yml playbooks/day1_deploy_llm_inference_multimodel.yml --tags discover
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#
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# KNOWN GAP (2026-08-05): Semaphore is currently broken; this is being run
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# via direct ansible-playbook as an accepted interim stopgap. Retarget
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# through Semaphore once it's repaired.
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# EXECUTION CHANNEL (2026-08-12, War Machine): run via the Semaphore template
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# "llm_inference_multimodel_stage_models" (scoped to --tags models). Do NOT
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# run this via direct ansible-playbook or ad-hoc ssh/curl/systemctl — all
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# homelab inference changes go through Ansible roles executed by Semaphore for
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# audit/visibility. Phase 1 (models) is idempotent: it only downloads/stages a
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# GGUF when missing or size-mismatched, and only restarts the router when a new
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# GGUF is detected (normal re-runs that find the files correct touch nothing).
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#
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# Phases (see roles/llm-inference-multimodel/README.md for detail):
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# 0. discover — read-only; confirm existing Gemma service management
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@@ -79,6 +79,21 @@ llm_qwen_expected_vram_gb: 20 # verified 2026-08-07: ~20,390 MiB / 24,576 MiB
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# llm_qwen_model_url is intentionally not set — see models.yml WARN task for
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# the HuggingFace URL if a re-download is ever needed.
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# --- Staged GGUF models (data-driven, idempotent staging) --------------------
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# Additional GGUFs to ensure are present in llm_models_dir, alongside the
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# production Qwen3.6-35B. Consumed by tasks/models.yml (loop over
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# tasks/stage_model.yml). Each entry:
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# filename: target filename in llm_models_dir
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# url: HuggingFace resolve URL (public repos; no auth needed)
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# size_bytes: EXACT expected byte size (HF manifest) — guard: download only
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# if the file is missing OR its size != this value (idempotent;
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# never re-pulls a correct file, never needlessly restarts).
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# source_repo: upstream HF repo (audit/lineage)
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# The REAL list is defined per-host in host_vars/astro-orbiter/vars.yml (NOT
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# hardcoded here) so the role stays generic and reusable for future model adds.
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# Empty default = nothing staged (safe no-op).
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llm_staged_models: []
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# --- Existing Gemma baseline (rollback target — never modified by this role) -
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# Populated by Phase 0 discovery (tasks/discover.yml) if not already known.
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# Set here only as a fallback name to search for; discovery is authoritative.
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@@ -23,3 +23,15 @@
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daemon_reload: true
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become: true
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listen: "reload systemd"
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# Restart the llama.cpp router so it re-discovers /opt/models after a NEW GGUF
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# is staged. NOTIFIED ONLY from tasks/stage_model.yml when an actual download
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# (or permission correction) occurs — a normal idempotent re-run that finds the
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# files already correct will NOT fire this, so the live router is left
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# untouched. Safe on the idle GPU (router holds no resident model when all
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# entries are "unloaded"; restart is sub-second).
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- name: restart llama-server-router on new GGUF
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ansible.builtin.systemd:
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name: "{{ llm_router_service_name | default('llama-server-router') }}"
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state: restarted
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become: true
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@@ -59,3 +59,18 @@
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Expected URL (bartowski UD-Q4_K_S):
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https://huggingface.co/bartowski/Qwen3.6-35B-A3B-UD-Q4_K_S-GGUF/resolve/main/Qwen3.6-35B-A3B-UD-Q4_K_S.gguf
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when: not (llm_qwen_model_stat.stat.exists | default(false))
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# --- Staged GGUF models (data-driven, idempotent) ----------------------------
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# Ensure every entry in llm_staged_models is present in llm_models_dir with the
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# EXACT expected byte size. When present AND size matches, this is a pure
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# no-op: no download, no service touch. When a genuine new/mismatched GGUF is
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# detected, it is downloaded + ownership/mode corrected and the router restart
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# handler is notified so the llama.cpp router re-discovers the models_dir.
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# Driven entirely by inventory vars (host_vars) — nothing hardcoded here, so
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# adding a future model = append to llm_staged_models in host_vars.
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- name: Stage data-driven GGUF models into {{ llm_models_dir }}
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ansible.builtin.include_tasks: stage_model.yml
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loop: "{{ llm_staged_models | default([]) }}"
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loop_control:
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loop_var: staged_model
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tags: [models]
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67
ansible/roles/llm-inference-multimodel/tasks/stage_model.yml
Normal file
67
ansible/roles/llm-inference-multimodel/tasks/stage_model.yml
Normal file
@@ -0,0 +1,67 @@
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---
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# ------------------------------------------------------------------------------
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# FILE: roles/llm-inference-multimodel/tasks/stage_model.yml
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# DESCRIPTION: Idempotent staging of a SINGLE GGUF listed in llm_staged_models.
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# Looped from tasks/models.yml (one include per entry).
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#
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# GUARD (idempotency):
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# - stat the target path in llm_models_dir
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# - get_url ONLY when the file is MISSING or its on-disk size
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# != the exact HF manifest size (staged_model.size_bytes)
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# - when present AND size matches -> pure no-op (no download,
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# no service touch)
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#
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# SIDE EFFECT ON CHANGE:
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# When a genuine new/mismatched GGUF is downloaded (or its
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# ownership/mode corrected), this task notifies the
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# "restart llama-server-router on new GGUF" handler so the
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# llama.cpp router re-discovers the models_dir. A normal
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# re-run that finds the files already correct will NOT fire
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# the handler — the live router is left untouched.
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#
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# Driven entirely by inventory vars (host_vars), nothing
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# hardcoded here, so adding a future model = append to the list.
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# ------------------------------------------------------------------------------
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- name: "Check if {{ staged_model.filename }} is present on disk"
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ansible.builtin.stat:
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path: "{{ llm_models_dir }}/{{ staged_model.filename }}"
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register: _staged_stat
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- name: "Report {{ staged_model.filename }} presence (source: {{ staged_model.source_repo | default('n/a') }})"
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ansible.builtin.debug:
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msg: >-
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{{ staged_model.filename }}:
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exists={{ _staged_stat.stat.exists | default(false) }},
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size={{ (_staged_stat.stat.size | default(0) | int) }},
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expected={{ staged_model.size_bytes | int }},
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match={{ (_staged_stat.stat.exists | default(false)) and
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((_staged_stat.stat.size | default(0) | int) == (staged_model.size_bytes | int)) }}
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when: _staged_stat.stat.exists | default(false)
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- name: "Download {{ staged_model.filename }} (missing or size mismatch)"
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ansible.builtin.get_url:
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url: "{{ staged_model.url }}"
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dest: "{{ llm_models_dir }}/{{ staged_model.filename }}"
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owner: "{{ llm_service_user }}"
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group: "{{ llm_service_user }}"
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mode: "0664"
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timeout: 600
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become: true
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when: >-
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not (_staged_stat.stat.exists | default(false))
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or (_staged_stat.stat.size | default(0) | int != (staged_model.size_bytes | int))
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register: _staged_download
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notify: restart llama-server-router on new GGUF
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- name: "Ensure ownership/mode on {{ staged_model.filename }}"
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ansible.builtin.file:
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path: "{{ llm_models_dir }}/{{ staged_model.filename }}"
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owner: "{{ llm_service_user }}"
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group: "{{ llm_service_user }}"
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mode: "0664"
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become: true
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when: >-
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(_staged_stat.stat.exists | default(false))
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or (_staged_download is changed | default(false))
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notify: restart llama-server-router on new GGUF
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