Merge origin/main: sync Qwen3-8B no_think variant to Ansible repo (t_36e8ba68)
Resolved conflicts between localbafd76a(t_c5cef2b2, Qwen3-8B single-variant) and origin/main5cf4468(t_664289a0, Qwen3-8B dual-thinking deployment). Conflict resolution strategy: took origin/main version throughout — it is the authoritative result from t_664289a0 which deployed the live no_think config to astro-orbiter and already reflects the correct production state. Changes incorporated from origin/main: - defaults/main.yml: Qwen3-8B-Q4_K_M-no_think model entry (port 8107, n_gpu_layers=99, chat_template_file), row6 matrix entry, dual-thinking comment block. - templates/llama-server-router-preset.ini.j2: [Qwen3-8B-Q4_K_M] with sleep-idle-seconds=60 plus new [Qwen3-8B-Q4_K_M-no_think] section with chat-template-file directive. - templates/qwen3-no-think.jinja.j2: new file — Qwen3 template with enable_thinking=false. - tasks/models.yml: template deploy task for qwen3-no-think.jinja (chat_templates tag). - tasks/swapmode.yml: GATE 2 assert updated to 7 models. - templates/llama-swap-config.yaml.j2: chat_template_file flag support. Also pulled in monitoring defaults (llm_monitoring_enabled, VRAM exporter settings, Grafana dashboard vars, Prometheus scrape config) from origin/main monitoring branch.
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Hermes Agent service account
@@ -190,38 +190,6 @@ llm_router_nomic_ctx_size: 8192
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llm_router_nomic_batch_size: 4096
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llm_router_nomic_ubatch_size: 4096
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# --- Monitoring: VRAM exporter + Prometheus scrape + Grafana dashboard -------
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# Phase 3: GPU/LLM monitoring deployment (Wong, 2026-08-18)
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# Provides: VRAM textfile exporter, Prometheus scrape config for llama-swap
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# /metrics endpoint, Grafana 6-panel dashboard, PrometheusRule alert rules.
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#
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# Ref: roles/llm-inference-multimodel/references/monitoring-llm-homelab-ciro-luciotta-2026.md
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llm_monitoring_enabled: true # gate for monitoring tasks
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llm_vram_exporter_script: /opt/llama-server-monitoring/nvidia-smi-vram-exporter.sh
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llm_vram_exporter_cron_minute: "*" # run every minute
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llm_vram_exporter_gpu_index: 0 # GPU 0 (RTX 3090 on astro-orbiter)
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llm_vram_textfile_dir: /var/lib/node_exporter/textfile_collector
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# Alert thresholds (per Ciro Luciotta pattern)
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llm_vram_critical_mib: 24000 # ~90% of 24GB RTX 3090
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llm_kv_cache_spill_ratio: 0.92 # KV-cache spill threshold
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llm_throughput_baseline_tokens_per_min: 50 # baseline for degradation alert
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# Grafana dashboard
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llm_grafana_dashboard_uid: llama-swap-monitor
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llm_grafana_dashboard_title: "llama-swap GPU/LLM Monitoring"
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llm_grafana_dashboard_tags:
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- llm
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- llama-swap
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- gpu-monitoring
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- ciro-luciotta
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llm_grafana_dashboard_refresh: "30s"
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llm_grafana_dashboard_time_from: "now-24h"
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# Prometheus scrape job
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llm_prometheus_scrape_interval: "30s"
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llm_prometheus_scrape_timeout: "10s"
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# --- llama-swap mode (port 8001) -----------------------------------------------
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# Deploy llama-swap — Go-based hot-swap proxy (v250+) for model orchestration.
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# Replaces router mode entirely: single binary + YAML config.json, no --models-preset INI.
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@@ -317,26 +285,36 @@ llm_swapmode_models:
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sleep_idle_seconds: -1 # never idle (always ready for embeddings)
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load_on_startup: true
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# Added t_c5cef2b2 (2026-08-19, War Machine): Qwen3-8B aux model.
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# Dense 8B (not MoE). ~4.68GB weights at Q4_K_M. GPU-resident (~5.2GB total
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# including KV at 32K ctx). Thinking mode on by default — callers MUST send
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# /no_think prefix for latency-sensitive aux tasks. See INI template comments.
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# VRAM budget: Qwen3.8-27B (~17,804 MiB @ 65536 ctx) + Qwen3-8B (~5,300 MiB
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# @ 32K ctx) = ~23,104 MiB — fits in 24GB (24,576 MiB) with ~1.4GB headroom.
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# llama-swap evicts Qwen3.8 when Qwen3-8B is requested (cannot co-reside).
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# LRU eviction is the operative strategy; cold load ~5s for 5GB GGUF.
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# t_c5cef2b2 / t_664289a0 (2026-08-19): Qwen3-8B dual-thinking deployment.
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# Both variants point to the same GGUF. GPU-resident (~5.2GB each).
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# Cannot co-reside with Qwen3.8-27B-Q4_K_M; LRU eviction applies.
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# chat_template_file for no_think variant: {{ llm_models_dir }}/templates/qwen3-no-think.jinja
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- id: Qwen3-8B-Q4_K_M
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gguf_path: "{{ llm_models_dir }}/Qwen3-8B-Q4_K_M.gguf"
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port: 8106
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n_gpu_layers: -1 # -1 = auto-detect / all layers to GPU (~5GB, fits easily)
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n_gpu_layers: 99 # GPU-resident (thinking variant)
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ctx_size: 32768
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batch_size: 4096
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ubatch_size: 4096
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parallel: 1
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cache_type: q4_0
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flash_attn: true
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flash_attn: "true"
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sleep_idle_seconds: 60 # idle after 60s no requests
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- id: Qwen3-8B-Q4_K_M-no_think
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gguf_path: "{{ llm_models_dir }}/Qwen3-8B-Q4_K_M.gguf"
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port: 8107
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n_gpu_layers: 99 # GPU-resident (no-think variant)
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ctx_size: 32768
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batch_size: 4096
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ubatch_size: 4096
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parallel: 1
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cache_type: q4_0
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flash_attn: "true"
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sleep_idle_seconds: 60
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chat_template_file: "{{ llm_models_dir }}/templates/qwen3-no-think.jinja"
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# llama-swap matrix routing configuration
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# Each row defines a set of models that can be co-resident and hot-swappable
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# Syntax: "model1 & model2" = both models in same row (via v250 expression DSL)
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@@ -356,5 +334,13 @@ llm_swapmode_matrix_rows:
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- row: row4
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expr: "Phi-3.5-mini-instruct-Q8_0 & nomic-embed-text-v1.5" # Mini + embed
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# t_c5cef2b2 / t_664289a0 (2026-08-19): Qwen3-8B dual-thinking rows.
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# Both Qwen3-8B variants co-reside with nomic-embed but NOT with
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# Qwen3.8-27B-Q4_K_M (17.8GB). LRU eviction swaps between primary and
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# Qwen3-8B when needed. They CAN co-reside with each other (~10.4GB total)
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# but NOT simultaneously with Qwen3.8-27B.
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- row: row5
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expr: "Qwen3-8B-Q4_K_M & nomic-embed-text-v1.5" # Aux 8B + embed
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expr: "Qwen3-8B-Q4_K_M & nomic-embed-text-v1.5" # Thinking variant + embed
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- row: row6
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expr: "Qwen3-8B-Q4_K_M-no_think & nomic-embed-text-v1.5" # No-think variant + embed
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