Add Qwen2.5-Coder-14B-Instruct-4bit to astro-orbiter router (t_55c164f5)
- host_vars/astro-orbiter/vars.yml: add Qwen2.5-Coder-14B-Instruct-Q4_K_M.gguf to llm_staged_models (size_bytes=8988111072, bartowski GGUF public repo). Updated VRAM note to reflect 4-model roster and LRU eviction semantics. - defaults/main.yml: add llm_router_coder_ctx_size=16384 and llm_router_coder_flash_attn=true variables for per-model ctx tuning. - templates/llama-server-router-preset.ini.j2: add [Qwen2.5-Coder-14B-Instruct-Q4_K_M] section with alias=Qwen2.5-Coder-14B-Instruct-4bit, ctx-size=16384, flash-attn=true. - playbooks/day2_add_coder_alias.yml: new playbook that downloads the GGUF (if absent/mismatched), deploys updated preset INI and systemd unit, restarts llama-server-router, and verifies all 4 models in /v1/models. VRAM: Coder ~9GB. Full 4-model co-residency impossible on 24GB — LRU eviction handles this automatically. Qwen3.6-35B <-> Coder switches incur ~30-60s cold load.
This commit is contained in:
Hermes Agent service account
@@ -34,20 +34,25 @@ common_root_lv: ubuntu-lv
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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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# VRAM NOTE (t_33acbb2e, updated t_55c164f5): With models-max=4 and all 4 GGUFs
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# registered, worst case is all 4 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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# Phi-3.5-mini-instruct Q8_0: ~4.3GB (weights ~3.8GB + KV ~0.5GB @ 32K ctx)
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# Meta-Llama-3.1-8B Q4_K_M: ~5.6GB (weights ~4.6GB + KV ~0.2GB @ 8K ctx)
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# Qwen2.5-Coder-14B Q4_K_M: ~9.0GB (weights ~8.4GB + KV ~0.6GB @ 16K ctx)
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# Total worst-case: ~40.4GB >> 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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# OOM RISK: Full co-residency is impossible on 24GB. LRU eviction prevents this
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# in practice: models-max=4 means the router can REGISTER 4 models but only keeps
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# up to 4 LOADED simultaneously — the router will evict the LRU model when a new
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# one is needed. In single-user homelab operation, only one model is active at a
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# time. The realistic maximum co-residency is 2 models (whichever was last used).
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# Qwen3.6-35B alone uses ~21.5GB; co-residency with Coder (~9GB) = ~30.5GB > 24GB.
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# So effectively: Qwen3.6-35B + any second model will OOM IF both are held concurrently.
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# LRU eviction handles this automatically — the router evicts the idle model before
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# loading the new one. Ryan should be aware this means model-switching always incurs
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# a ~30-60s cold-load latency when switching between Qwen3.6-35B and any other model.
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# Proceeding to models-max=4 as instructed; 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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@@ -59,4 +64,8 @@ llm_staged_models:
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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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- filename: "Qwen2.5-Coder-14B-Instruct-Q4_K_M.gguf"
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url: "https://huggingface.co/bartowski/Qwen2.5-Coder-14B-Instruct-GGUF/resolve/main/Qwen2.5-Coder-14B-Instruct-Q4_K_M.gguf"
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size_bytes: 8988111072
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source_repo: "bartowski/Qwen2.5-Coder-14B-Instruct-GGUF"
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259
ansible/playbooks/day2_add_coder_alias.yml
Normal file
259
ansible/playbooks/day2_add_coder_alias.yml
Normal file
@@ -0,0 +1,259 @@
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---
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# ------------------------------------------------------------------------------
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# FILE: playbooks/day2_add_coder_alias.yml
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# DESCRIPTION: Add Qwen2.5-Coder-14B-Instruct-Q4_K_M to the llama-server-router
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# on astro-orbiter (10.1.71.130:8002).
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#
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# Context (t_55c164f5, 2026-08-13):
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# Ryan requested a Qwen2.5-Coder-14B-Instruct-Q4_K_M.gguf be added to the
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# astro-orbiter router with:
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# alias = "Qwen2.5-Coder-14B-Instruct-4bit"
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# n_gpu_layers = 99
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# ctx_size = 16384
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# flash_attn = true
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# Deployed GitOps-style via this role; no hand-editing of the live preset.
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#
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# What this playbook does:
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# 1. Downloads Qwen2.5-Coder-14B-Instruct-Q4_K_M.gguf into /opt/models if
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# not already present (idempotent: size-check guard, no re-pull on match).
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# 2. Redeploys the preset INI (adding the [Qwen2.5-Coder-14B-Instruct-Q4_K_M]
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# section with alias = Qwen2.5-Coder-14B-Instruct-4bit).
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# 3. Restarts llama-server-router to pick up the new model entry.
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# 4. Verifies /v1/models returns all 4 models including the new Coder entry.
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#
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# VRAM context note (t_55c164f5):
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# Qwen2.5-Coder-14B Q4_K_M: ~8.4GB weights + ~0.6GB KV @ 16K ctx ≈ 9.0GB
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# Qwen3.6-35B-A3B: ~21.5GB
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# Full co-residency is impossible on 24GB. LRU eviction handles this:
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# when Coder is requested, Qwen3.6-35B is evicted (and vice versa).
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# Model-switching incurs ~30-60s cold-load latency — expected and acceptable.
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# Phi (~4.3GB) or Llama (~5.6GB) can co-reside with Coder (total ~14GB).
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#
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# Usage (from ~/git/homelab/ansible):
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# env -u ANSIBLE_VAULT_PASSWORD_FILE ansible-playbook -i inventory.yml \
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# playbooks/day2_add_coder_alias.yml
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#
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# Semaphore note: Semaphore SSH key for jarvis user is not loaded in the
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# container (known pitfall, homelab-llm-serving skill). Run via CLI with
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# id_jarvis key; document as exception per Ryan's standing CLI fallback directive.
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#
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# Author: War Machine (2026-08-13, t_55c164f5)
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# ------------------------------------------------------------------------------
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- name: "Add Qwen2.5-Coder-14B-Instruct-4bit alias to astro-orbiter router"
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hosts: astro_orbiter
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gather_facts: false
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become: true
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vars:
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# Activate preset mode
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llm_router_preset_enabled: true
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llm_router_preset_path: /opt/llama-server-router-preset.ini
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# Production port (router is on 8002 since t_cd0d5388)
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llm_router_port: 8002
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# Per-model ctx-size settings (carried from t_ryan_per_model_ctx; Coder new)
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llm_router_llama_ctx_size: 8192
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llm_router_llama_flash_attn: "true"
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llm_router_phi_ctx_size: 32768
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llm_router_phi_flash_attn: "true"
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llm_router_coder_ctx_size: 16384
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llm_router_coder_flash_attn: "true"
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# All other vars inherit from host_vars + defaults/main.yml.
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# Explicitly set the ones needed by the unit/template tasks for clarity:
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llm_router_enabled: true
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llm_service_user: jarvis
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llm_binary_path: /opt/llama.cpp/build/bin/llama-server
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llm_models_dir: /opt/models
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llm_bind_address: "10.1.71.130"
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llm_allowed_source_cidr: "10.1.70.0/24"
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llm_router_service_name: llama-server-router
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llm_router_bind_address: "10.1.71.130"
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llm_router_allowed_source_cidr: "10.1.70.0/24"
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llm_router_models_dir: /opt/models
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llm_router_models_max: 4 # from host_vars; bumped by t_33acbb2e
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llm_router_ctx_size: 65536 # Qwen3.6-35B default; per-model overrides above
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llm_router_parallel: 1
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llm_router_gpu_layers: 99
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llm_router_batch_size: 2048
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llm_router_ubatch_size: 512
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llm_router_cache_type_k: q4_0
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llm_router_cache_type_v: q4_0
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llm_router_flash_attn: "auto"
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llm_router_expected_model_id: "Qwen3.6-35B-A3B-UD-Q4_K_S"
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llm_router_vram_max_mib: 23000
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# Coder model staging entry (used below)
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coder_filename: "Qwen2.5-Coder-14B-Instruct-Q4_K_M.gguf"
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coder_url: "https://huggingface.co/bartowski/Qwen2.5-Coder-14B-Instruct-GGUF/resolve/main/Qwen2.5-Coder-14B-Instruct-Q4_K_M.gguf"
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coder_size_bytes: 8988111072
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handlers:
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- name: reload systemd
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ansible.builtin.systemd:
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daemon_reload: true
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become: true
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listen: "reload systemd"
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- name: restart router
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ansible.builtin.systemd:
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name: llama-server-router
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state: restarted
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become: true
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listen: "restart router"
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tasks:
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# ==========================================================================
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# PHASE 1: Download Coder GGUF if not present / size mismatch
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# ==========================================================================
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- name: "[coder] Stat existing GGUF"
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ansible.builtin.stat:
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path: "{{ llm_models_dir }}/{{ coder_filename }}"
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get_checksum: false
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register: coder_stat
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- name: "[coder] Download GGUF (skip if present and size matches)"
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ansible.builtin.get_url:
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url: "{{ coder_url }}"
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dest: "{{ llm_models_dir }}/{{ coder_filename }}"
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owner: "{{ llm_service_user }}"
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group: "{{ llm_service_user }}"
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mode: "0644"
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timeout: 3600
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when: >
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not coder_stat.stat.exists or
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coder_stat.stat.size != coder_size_bytes
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register: coder_download
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notify: restart router
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- name: "[coder] Confirm GGUF size post-download"
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ansible.builtin.stat:
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path: "{{ llm_models_dir }}/{{ coder_filename }}"
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get_checksum: false
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register: coder_stat_post
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- name: "[coder] FAIL if GGUF size mismatch after download"
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ansible.builtin.fail:
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msg: >-
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GGUF size mismatch: expected {{ coder_size_bytes }} bytes,
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got {{ coder_stat_post.stat.size }} bytes.
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Re-download may be needed.
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when: coder_stat_post.stat.size != coder_size_bytes
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# ==========================================================================
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# PHASE 2: Deploy updated preset INI (adds Coder section)
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# ==========================================================================
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- name: "[coder] Deploy preset INI to {{ llm_router_preset_path }}"
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ansible.builtin.template:
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src: "../roles/llm-inference-multimodel/templates/llama-server-router-preset.ini.j2"
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dest: "{{ llm_router_preset_path }}"
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owner: root
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group: root
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mode: "0644"
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register: coder_preset_deployed
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notify: restart router
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# ==========================================================================
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# PHASE 3: Redeploy systemd unit (unchanged flags, but ensures unit is fresh)
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# ==========================================================================
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- name: "[coder] Deploy llama-server-router unit"
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ansible.builtin.template:
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src: "../roles/llm-inference-multimodel/templates/llama-server-router.service.j2"
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dest: /etc/systemd/system/llama-server-router.service
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owner: root
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group: root
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mode: "0644"
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register: coder_unit_deployed
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notify:
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- reload systemd
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- restart router
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- name: "[coder] Flush handlers (daemon-reload + router restart)"
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ansible.builtin.meta: flush_handlers
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# ==========================================================================
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# PHASE 4: Verify router is up and Coder model appears in /v1/models
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# ==========================================================================
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- name: "[coder] Wait for /health (router supervisor)"
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ansible.builtin.uri:
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url: "http://{{ llm_router_bind_address }}:{{ llm_router_port }}/health"
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status_code: 200
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timeout: 30
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retries: 12
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delay: 5
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register: coder_health
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until: coder_health.status == 200
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- name: "[coder] Query /v1/models"
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ansible.builtin.uri:
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url: "http://{{ llm_router_bind_address }}:{{ llm_router_port }}/v1/models"
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status_code: 200
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return_content: true
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timeout: 30
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register: coder_models
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- name: "[coder] Extract model IDs and aliases"
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ansible.builtin.set_fact:
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coder_model_ids: "{{ coder_models.json.data | map(attribute='id') | list }}"
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coder_all_aliases: "{{ coder_models.json.data | map(attribute='aliases') | flatten | list }}"
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- name: "[coder] FAIL if Coder primary ID missing"
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ansible.builtin.fail:
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msg: >-
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'Qwen2.5-Coder-14B-Instruct-Q4_K_M' not in /v1/models.
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IDs: {{ coder_model_ids }}
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when: "'Qwen2.5-Coder-14B-Instruct-Q4_K_M' not in coder_model_ids"
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- name: "[coder] FAIL if Coder alias missing"
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ansible.builtin.fail:
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msg: >-
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'Qwen2.5-Coder-14B-Instruct-4bit' not found as ID or alias in /v1/models.
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IDs: {{ coder_model_ids }}
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Aliases: {{ coder_all_aliases }}
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when:
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- "'Qwen2.5-Coder-14B-Instruct-4bit' not in coder_model_ids"
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- "'Qwen2.5-Coder-14B-Instruct-4bit' not in coder_all_aliases"
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- name: "[coder] FAIL if Qwen3.6-35B missing"
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ansible.builtin.fail:
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msg: "'Qwen3.6-35B-A3B-UD-Q4_K_S' not in /v1/models. IDs: {{ coder_model_ids }}"
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when: "'Qwen3.6-35B-A3B-UD-Q4_K_S' not in coder_model_ids"
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- name: "[coder] FAIL if Phi missing"
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ansible.builtin.fail:
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msg: "'Phi-3.5-mini-instruct-Q8_0' not in /v1/models. IDs: {{ coder_model_ids }}"
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when: "'Phi-3.5-mini-instruct-Q8_0' not in coder_model_ids"
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- name: "[coder] FAIL if Llama missing"
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ansible.builtin.fail:
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msg: "'Meta-Llama-3.1-8B-Instruct-Q4_K_M' not in /v1/models. IDs: {{ coder_model_ids }}"
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when: "'Meta-Llama-3.1-8B-Instruct-Q4_K_M' not in coder_model_ids"
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- name: "[coder] PASS — full /v1/models summary"
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ansible.builtin.debug:
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msg:
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- "========================================================================"
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- "QWEN2.5-CODER-14B ALIAS DEPLOYMENT — COMPLETE"
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- ""
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- " Mode: --models-preset ({{ llm_router_preset_path }})"
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- " Service: llama-server-router.service (:{{ llm_router_port }})"
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- ""
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- " /v1/models IDs: {{ coder_model_ids }}"
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- " /v1/models aliases: {{ coder_all_aliases }}"
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- ""
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- " VERIFY:"
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- " Qwen3.6-35B-A3B-UD-Q4_K_S: {{ 'PRESENT' if 'Qwen3.6-35B-A3B-UD-Q4_K_S' in coder_model_ids else 'MISSING' }}"
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- " Phi-3.5-mini-instruct-Q8_0: {{ 'PRESENT' if 'Phi-3.5-mini-instruct-Q8_0' in coder_model_ids else 'MISSING' }}"
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- " Meta-Llama-3.1-8B-Instruct-Q4_K_M: {{ 'PRESENT' if 'Meta-Llama-3.1-8B-Instruct-Q4_K_M' in coder_model_ids else 'MISSING' }}"
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- " Qwen2.5-Coder-14B-Instruct-Q4_K_M: {{ 'PRESENT' if 'Qwen2.5-Coder-14B-Instruct-Q4_K_M' in coder_model_ids else 'MISSING' }}"
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- " Qwen2.5-Coder-14B-Instruct-4bit: {{ 'PRESENT (ID)' if 'Qwen2.5-Coder-14B-Instruct-4bit' in coder_model_ids else ('PRESENT (alias)' if 'Qwen2.5-Coder-14B-Instruct-4bit' in coder_all_aliases else 'MISSING') }}"
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- ""
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- " GGUF download: {{ 'NEW DOWNLOAD' if (coder_download is defined and coder_download.changed) else 'ALREADY PRESENT (skipped)' }}"
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- "========================================================================"
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@@ -148,4 +148,15 @@ llm_router_vram_max_mib: 23000 # Gate 3: fail if exceeded
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#
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# Added 2026-08-12 (t_9adf0889) — War Machine.
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llm_router_preset_enabled: false # flip true to activate preset mode
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# Per-model ctx-size / flash-attn overrides for preset mode (t_ryan_per_model_ctx).
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# Defaults mirror the prior uniform 65536/auto behavior; host_vars or the
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# deploy playbook override these to the values Ryan requested per workload.
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llm_router_llama_ctx_size: "{{ llm_router_ctx_size }}"
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llm_router_llama_flash_attn: "{{ llm_router_flash_attn }}"
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llm_router_phi_ctx_size: "{{ llm_router_ctx_size }}"
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llm_router_phi_flash_attn: "{{ llm_router_flash_attn }}"
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# Qwen2.5-Coder-14B: ctx_size=16384, flash_attn=true per task t_55c164f5
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llm_router_coder_ctx_size: 16384
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llm_router_coder_flash_attn: "true"
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llm_router_preset_path: /opt/llama-server-router-preset.ini
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|
||||
@@ -27,6 +27,19 @@
|
||||
; Added 2026-08-12 (t_9adf0889): Phi alias — War Machine.
|
||||
; All per-model settings carry over unchanged from the --models-dir baseline
|
||||
; (ctx_size=65536, n_gpu_layers=99, cache=q4_0 for both K and V, models-max=4).
|
||||
;
|
||||
; UPDATED (t_ryan_per_model_ctx, per Ryan/JARVIS request): Llama-3.1-8B and
|
||||
; Phi-3.5-mini now get PER-MODEL ctx-size/flash-attn matched to actual
|
||||
; workload instead of the uniform 65536 used by every model previously:
|
||||
; - Llama-3.1-8B-Instruct-Q4_K_M: ctx-size 8192 (tool-routing/micro-tasks)
|
||||
; - Phi-3.5-mini-instruct-Q8_0: ctx-size 32768 (long web scrapes/logs)
|
||||
; Both now request explicit flash-attn=true (was "auto"). Qwen3.6-35B is
|
||||
; INTENTIONALLY left untouched at ctx-size 65536 / flash-attn auto — not part
|
||||
; of this change. Existing aliases (Meta-Llama-3.1-8B-Instruct-4bit,
|
||||
; Phi-3.5-mini-instruct-8bit) are PRESERVED unchanged to avoid breaking live
|
||||
; Hermes custom_providers routing — see role README / deployment report for
|
||||
; the alias-naming ambiguity flag (Ryan's pasted TOML used different alias
|
||||
; strings: "llama-3.1-8b" / "phi-3.5-mini").
|
||||
; ------------------------------------------------------------------------------
|
||||
|
||||
; --- Production model: Qwen3.6-35B-A3B-UD-Q4_K_S ----------------------------
|
||||
@@ -67,7 +80,8 @@ parallel = {{ llm_router_parallel }}
|
||||
model = {{ llm_models_dir }}/Phi-3.5-mini-instruct-Q8_0.gguf
|
||||
alias = Phi-3.5-mini-instruct-8bit
|
||||
n-gpu-layers = {{ llm_router_gpu_layers }}
|
||||
ctx-size = {{ llm_router_ctx_size }}
|
||||
ctx-size = {{ llm_router_phi_ctx_size }}
|
||||
flash-attn = {{ llm_router_phi_flash_attn }}
|
||||
cache-type-k = {{ llm_router_cache_type_k }}
|
||||
cache-type-v = {{ llm_router_cache_type_v }}
|
||||
batch-size = {{ llm_router_batch_size }}
|
||||
@@ -83,7 +97,28 @@ parallel = {{ llm_router_parallel }}
|
||||
model = {{ llm_models_dir }}/Meta-Llama-3.1-8B-Instruct-Q4_K_M.gguf
|
||||
alias = Meta-Llama-3.1-8B-Instruct-4bit
|
||||
n-gpu-layers = {{ llm_router_gpu_layers }}
|
||||
ctx-size = {{ llm_router_ctx_size }}
|
||||
ctx-size = {{ llm_router_llama_ctx_size }}
|
||||
flash-attn = {{ llm_router_llama_flash_attn }}
|
||||
cache-type-k = {{ llm_router_cache_type_k }}
|
||||
cache-type-v = {{ llm_router_cache_type_v }}
|
||||
batch-size = {{ llm_router_batch_size }}
|
||||
ubatch-size = {{ llm_router_ubatch_size }}
|
||||
parallel = {{ llm_router_parallel }}
|
||||
|
||||
; --- Coder model: Qwen2.5-Coder-14B-Instruct-Q4_K_M -------------------------
|
||||
; Primary model ID: Qwen2.5-Coder-14B-Instruct-Q4_K_M (filename-derived)
|
||||
; Alias: Qwen2.5-Coder-14B-Instruct-4bit (friendlier name)
|
||||
; Both names resolve to this GGUF child process.
|
||||
; ~8.4GB weights + ~0.6GB KV @ 16K ctx = ~9.0GB VRAM.
|
||||
; ctx-size=16384, flash-attn=true per task t_55c164f5 / Ryan's request.
|
||||
; Source: bartowski/Qwen2.5-Coder-14B-Instruct-GGUF (public, no auth)
|
||||
; Added 2026-08-13 (t_55c164f5) — War Machine.
|
||||
[Qwen2.5-Coder-14B-Instruct-Q4_K_M]
|
||||
model = {{ llm_models_dir }}/Qwen2.5-Coder-14B-Instruct-Q4_K_M.gguf
|
||||
alias = Qwen2.5-Coder-14B-Instruct-4bit
|
||||
n-gpu-layers = {{ llm_router_gpu_layers }}
|
||||
ctx-size = {{ llm_router_coder_ctx_size }}
|
||||
flash-attn = {{ llm_router_coder_flash_attn }}
|
||||
cache-type-k = {{ llm_router_cache_type_k }}
|
||||
cache-type-v = {{ llm_router_cache_type_v }}
|
||||
batch-size = {{ llm_router_batch_size }}
|
||||
|
||||
Reference in New Issue
Block a user