9c969f783d
Changes: - host_vars/astro-orbiter/vars.yml: add llm_router_models_max: 4 (overrides conservative default of 1). Detailed VRAM OOM risk note included inline: worst-case 3-model co-residency ~31GB > 24GB RTX 3090. LRU eviction mitigates in single-user operation; flagged for Ryan's review. - playbooks/day2_bump_router_models_max.yml: new targeted playbook; deploys updated router unit, restarts the live service, verifies /health 200 and /v1/models lists all 3 GGUFs post-restart. - group_vars/all/semaphore.yml: add llm_router_update_unit template pointing at the new playbook. - roles/llm-inference-multimodel/defaults/main.yml: update comment to reflect the var is now overridden in host_vars rather than 'hardcoded to 1'. - roles/llm-inference-multimodel/templates/llama-server-router.service.j2: correct stale 'HARDCODED TO 1' comment — value is variable-driven. Constraints honored: - --parallel 1 left untouched (not in scope, not modified anywhere) - No ad-hoc SSH/systemctl/curl state mutation; all execution via Semaphore - No installed/vendored code patched
63 lines
3.3 KiB
YAML
63 lines
3.3 KiB
YAML
---
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# ------------------------------------------------------------------------------
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# FILE: ansible/host_vars/astro_orbiter/vars.yml
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# HOST: astro-orbiter (10.1.71.130)
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# ROLE: llama.cpp LLM inference host — Ryzen 7 5800XT / RTX 3090 (ATX rebuild,
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# 2026-08-04). Superseded the prior AMD RX 5700 / Ollama config below;
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# drive was transplanted into new hardware, not reinstalled.
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# ------------------------------------------------------------------------------
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ansible_host: 10.1.71.130
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ansible_user: jarvis
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ansible_ssh_private_key_file: ~/.ssh/id_jarvis
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ansible_become: true
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# LVM root expansion — xlarge template uses sda3 partition, standard VG/LV names
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common_expand_root_lvm: true
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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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# Router --models-max override for astro-orbiter.
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# Default in defaults/main.yml is 1 (conservative). Bumped to 4 on 2026-08-12
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# (t_33acbb2e) so the router can keep more than one GGUF resident on-demand
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# and LRU-evict when needed.
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#
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# VRAM NOTE (t_33acbb2e): With models-max=4 and all 3 current GGUFs plus
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# headroom for one more, worst case is all 3 loaded simultaneously:
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# Qwen3.6-35B-A3B Q4_K_S: ~21.5GB (weights ~19.5GB + KV ~2GB @ 64K ctx, q4_0)
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# Phi-3.5-mini-instruct Q8_0: ~4.3GB (weights ~3.8GB + KV ~0.5GB @ 64K ctx)
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# Meta-Llama-3.1-8B Q4_K_M: ~5.6GB (weights ~4.6GB + KV ~1.0GB @ 64K ctx)
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# Total worst-case: ~31.4GB > 24GB RTX 3090
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#
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# OOM RISK: If all 3 models are loaded concurrently the card will OOM. The
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# router's LRU eviction means this only occurs if all 3 models receive a
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# concurrent request before any model completes its response (very unlikely
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# in single-user homelab operation). However, Ryan should be aware. A safe
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# alternative would be models-max=2 (allows Qwen + one small model resident
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# simultaneously: ~21.5 + 5.6 = ~27.1GB still tight). Proceeding to 4 as
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# instructed per task t_33acbb2e; flagged for Ryan's attention.
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llm_router_models_max: 4
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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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