03b3ce9dee
- Remove global --n-gpu-layers from router unit ExecStart in preset mode (llama.cpp CLI arg outranked per-model INI n-gpu-layers=0; root cause from War Machine's run 1). Flag now emitted only in --models-dir mode. - All 5 preset INI sections carry explicit n-gpu-layers: Qwen3.8=99, Phi=99, nomic=99, Coder=0, Llama=0. - host_vars/astro-orbiter: llm_router_models_max 2 -> 4 so CPU-offloaded models count as loaded without LRU-evicting Qwen3.8. - defaults: llm_router_coder_gpu_layers / llm_router_llama_gpu_layers = 0. - verify.yml: fix pre-existing .meta attribute crash in router mode. - New playbook day2_cpu_offload_aux_models.yml. Deployed + verified on astro-orbiter (gates A-E PASS): concurrent residency achieved, Qwen3.8 stays GPU-resident. Measured CPU throughput Llama 9.0 / Coder 4.7 tok/s. VRAM note: llama.cpp 6ea215d allocates ~1.4-1.7GB CUDA-context per CPU model even at n-gpu-layers=0 -> ~24,004 MiB steady-state, below the 24,576 MiB physical limit. Comments corrected to match the measurement. Report: friday/inbox/ryan/2026-08-17-llm-cpu-offload-coder-llama-deployed.md
97 lines
5.8 KiB
YAML
97 lines
5.8 KiB
YAML
---
|
|
# ------------------------------------------------------------------------------
|
|
# FILE: ansible/host_vars/astro_orbiter/vars.yml
|
|
# HOST: astro-orbiter (10.1.71.130)
|
|
# ROLE: llama.cpp LLM inference host — Ryzen 7 5800XT / RTX 3090 (ATX rebuild,
|
|
# 2026-08-04). Superseded the prior AMD RX 5700 / Ollama config below;
|
|
# drive was transplanted into new hardware, not reinstalled.
|
|
# ------------------------------------------------------------------------------
|
|
|
|
ansible_host: 10.1.71.130
|
|
ansible_user: jarvis
|
|
ansible_ssh_private_key_file: ~/.ssh/id_jarvis
|
|
ansible_become: true
|
|
|
|
# LVM root expansion — xlarge template uses sda3 partition, standard VG/LV names
|
|
common_expand_root_lvm: true
|
|
common_root_pv: /dev/sda3
|
|
common_root_vg: ubuntu-vg
|
|
common_root_lv: ubuntu-lv
|
|
|
|
# --- Staged GGUF models for the llama.cpp router (:8002) ---------------------
|
|
# Data-driven list consumed by roles/llm-inference-multimodel tasks/models.yml
|
|
# (loop -> tasks/stage_model.yml). Each entry is idempotently staged into
|
|
# /opt/models: stat + EXACT-size check vs HF manifest; skip (no download, no
|
|
# restart) when present + size matches. Source repos are public bartowski GGUFs
|
|
# on HuggingFace (no auth). A router restart is notified ONLY when a new GGUF
|
|
# is actually downloaded.
|
|
# Added 2026-08-12 (War Machine): codify Phi-3.5-mini-instruct-Q8_0 and
|
|
# Meta-Llama-3.1-8B-Instruct-Q4_K_M as router models alongside the production
|
|
# Qwen3.6-35B-A3B-UD-Q4_K_S. The live files were already present/correct on
|
|
# astro-orbiter; this pass codifies them. Future adds = append to this list.
|
|
# Router --models-max override for astro-orbiter.
|
|
# Default in defaults/main.yml is 1 (conservative). Bumped to 4 on 2026-08-12
|
|
# (t_33acbb2e) so the router can keep more than one GGUF resident on-demand
|
|
# and LRU-evict when needed.
|
|
#
|
|
# VRAM NOTE (t_33acbb2e, updated t_55c164f5, updated t_34b96e83, updated t_f5f7e9ad, updated t_441470b9):
|
|
# With models-max=4 and all 5 GGUFs registered, worst case is all 5 loaded simultaneously:
|
|
# Qwen3.8-27B Q4_K_M: ~23.3GB (weights ~17.1GB + KV ~6.2GB @ 128K ctx, q4_0) ← UPDATED
|
|
# Phi-3.5-mini-instruct Q8_0: ~4.3GB (weights ~3.8GB + KV ~0.5GB @ 32K ctx)
|
|
# Meta-Llama-3.1-8B Q4_K_M: ~5.6GB (weights ~4.6GB + KV ~0.2GB @ 8K ctx)
|
|
# Qwen2.5-Coder-14B Q4_K_M: ~9.0GB (weights ~8.4GB + KV ~0.6GB @ 16K ctx)
|
|
# nomic-embed-text-v1.5 Q4_K_M: ~0.09GB (~84MB, embedding only — no KV cache)
|
|
# Total worst-case: ~42.3GB >> 24GB RTX 3090
|
|
#
|
|
# OOM RISK: Full co-residency is impossible on 24GB. LRU eviction prevents this
|
|
# in practice: models-max=4 means the router can REGISTER 5 models but only keeps
|
|
# up to 4 LOADED simultaneously — the router will evict the LRU model when a new
|
|
# one is needed. nomic-embed-text-v1.5 is pinned via sleep-idle-seconds=-1 and
|
|
# load-on-startup=true but it uses only ~84MB, so it never meaningfully changes
|
|
# the budget. In single-user homelab operation, only one generative model is active
|
|
# at a time alongside the always-resident embedding model.
|
|
# Qwen3.8-27B alone uses ~23.1GB (weights+KV); co-residency with Coder (~9GB) = ~32GB > 24GB.
|
|
# LRU eviction handles this automatically — the router evicts the idle model before
|
|
# loading the new one. Ryan should be aware this means model-switching always incurs
|
|
# a ~30-60s cold-load latency when switching between Qwen3.8-27B and any other model.
|
|
# Proceeding to models-max=4 as instructed; flagged for Ryan's attention.
|
|
# Router --models-max override for astro-orbiter.
|
|
# UPDATED (t_f5f7e9ad, 2026-08-16): Set to 2 because Qwen3.8-27B-Q4_K_M
|
|
# uses 17,804 MiB at 65536 ctx. Only nomic-embed (558MB, pinned) and ONE
|
|
# generative model can be resident simultaneously. Co-residency of Qwen3.8
|
|
# with any auxiliary model (Phi 8.3GB, Llama 5.9GB, Coder 9GB) exceeds 24GB.
|
|
# models-max=2: slot 1 = nomic-embed (pinned, always loaded), slot 2 = LRU
|
|
# generative model (Qwen3.8 primary, cold-loaded on first request ~30-60s;
|
|
# auxiliary models evict it on demand, and vice versa).
|
|
# NOTE: Qwen3.8 does NOT have load-on-startup — it loads on first request.
|
|
# This avoids an LRU eviction race with nomic-embed at startup.
|
|
# UPDATED (t_72646029, 2026-08-17): CPU offload for Coder + Llama changes the
|
|
# constraint. Coder and Llama now use CPU inference (n-gpu-layers=0). GPU-resident
|
|
# VRAM: Qwen3.8 (~20,302 MiB at 128K ctx) + nomic-embed (558 MiB, pinned) plus the
|
|
# CUDA-context buffers llama.cpp 6ea215d allocates for the CPU models (~1.4-1.7GB
|
|
# each) = ~24,004 MiB steady-state, below the 24,576 MiB physical limit.
|
|
# models-max raised to 4: nomic (slot 1, pinned) + Qwen3.8 (slot 2, GPU) +
|
|
# Llama (slot 3, CPU) + Coder (slot 4, CPU). Phi (GPU, ~8.3GB) can still be
|
|
# requested but evicts Qwen3.8 due to VRAM constraint. models-max=4
|
|
# is required so CPU-offloaded models count as loaded without evicting Qwen3.8.
|
|
llm_router_models_max: 4
|
|
|
|
llm_staged_models:
|
|
- filename: "Phi-3.5-mini-instruct-Q8_0.gguf"
|
|
url: "https://huggingface.co/bartowski/Phi-3.5-mini-instruct-GGUF/resolve/main/Phi-3.5-mini-instruct-Q8_0.gguf"
|
|
size_bytes: 4061222688
|
|
source_repo: "bartowski/Phi-3.5-mini-instruct-GGUF"
|
|
- filename: "Meta-Llama-3.1-8B-Instruct-Q4_K_M.gguf"
|
|
url: "https://huggingface.co/bartowski/Meta-Llama-3.1-8B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-8B-Instruct-Q4_K_M.gguf"
|
|
size_bytes: 4920739232
|
|
source_repo: "bartowski/Meta-Llama-3.1-8B-Instruct-GGUF"
|
|
- filename: "Qwen2.5-Coder-14B-Instruct-Q4_K_M.gguf"
|
|
url: "https://huggingface.co/bartowski/Qwen2.5-Coder-14B-Instruct-GGUF/resolve/main/Qwen2.5-Coder-14B-Instruct-Q4_K_M.gguf"
|
|
size_bytes: 8988111072
|
|
source_repo: "bartowski/Qwen2.5-Coder-14B-Instruct-GGUF"
|
|
- filename: "nomic-embed-text-v1.5-Q4_K_M.gguf"
|
|
url: "https://huggingface.co/nomic-ai/nomic-embed-text-v1.5-GGUF/resolve/main/nomic-embed-text-v1.5.Q4_K_M.gguf"
|
|
size_bytes: 84106624
|
|
source_repo: "nomic-ai/nomic-embed-text-v1.5-GGUF"
|
|
|