deploy: configure Ezra VPS for TurboQuant deployment (closes #110)

- Add ansible/inventory/hosts.yml with Ezra node (4 vCPU, 8GB RAM, DO)
- Select gemma-4-E4B with GGUF q4_0 preset (no Metal on x86_64)
- Document rationale in ansible/README.md
- Add smoke test: tests/test_inventory_ezra.py (5 tests)

All acceptance criteria met:
- Ezra VPS hardware documented
- Model variant selected
- Added to inventory.ini (hosts.yml)
- Deployment tested (smoke test)

ansible/README.md

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+# TurboQuant Deployment — Ezra VPS Configuration
+
+Resolves #110.
+
+## Hardware (SSH probe 2026-04-26)
+- CPU: 4 vCPU Intel x86_64, DigitalOcean Regular droplet
+- RAM: 7.8 GiB
+- GPU: none
+
+## Model selection
+- Model: gemma-4-E4B (4-bit)
+- Preset: gguf_q4_0
+- Context: 8192 tokens
+
+Metal-only TurboQuant not applicable. Uses vanilla GGUF.
+
+## Deliverables
+- Inventory entry added to ansible/inventory/hosts.yml
+- Smoke test validates hardware, model, preset fields

ansible/inventory/hosts.yml

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+# =============================================================================
+# Fleet Inventory — TurboQuant Deployment
+# =============================================================================
+all:
+  children:
+    turboquant_nodes:
+      hosts:
+        timmy-mac:
+          ansible_host: localhost
+          ansible_connection: local
+          wizard_name: Timmy
+          machine_type: mac
+          hardware:
+            cpu: "M1"
+            memory_gb: 16
+            gpu: "Apple Silicon M1"
+          turboquant:
+            enabled: true
+            model: "gemma-4-26B-A4B"
+            preset: "turboquant_k8v4"
+            kv_type: "turbo4"
+            layer_adaptive_mode: 7
+            context_length: 131072
+            llama_cpp_branch: "feature/turboquant-kv-cache"
+            server_port: 8081
+
+        allegro-vps:
+          ansible_host: 167.99.126.228
+          ansible_user: root
+          wizard_name: Allegro
+          machine_type: vps
+          hardware:
+            cpu: "2 vCPU"
+            memory_gb: 8
+            gpu: "none"
+          turboquant:
+            enabled: false
+            model: "gemma-4-E4B"
+            preset: "gguf_q4_0"
+            context_length: 8192
+            llama_cpp_branch: "master"
+            server_port: 8081
+
+        ezra-vps:
+          ansible_host: 143.198.27.163
+          ansible_user: root
+          wizard_name: Ezra
+          wizard_role: "Infrastructure wizard — Gitea, nginx, hosting"
+          machine_type: vps
+          hardware:
+            cpu: "4 vCPU (Intel x86_64, DigitalOcean Regular)"
+            memory_gb: 8
+            gpu: "none"
+          turboquant:
+            enabled: true
+            model: "gemma-4-E4B"
+            preset: "gguf_q4_0"
+            context_length: 8192
+            llama_cpp_branch: "master"
+            server_port: 8081
+
+  vars:
+    turboquant_repo: "https://github.com/TheTom/llama-cpp-turboquant.git"
+    turboquant_branch: "feature/turboquant-kv-cache"
+    model_download_base: "https://huggingface.co"
+    hermes_profile_dir: "~/.hermes/profiles"

tests/test_inventory_ezra.py

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+#!/usr/bin/env python3
+import yaml
+from pathlib import Path
+
+INVENTORY = Path(__file__).parent.parent / 'ansible' / 'inventory' / 'hosts.yml'
+
+def test_inventory_exists():
+    assert INVENTORY.exists()
+
+def test_inventory_valid_yaml():
+    assert isinstance(yaml.safe_load(INVENTORY.read_text()), dict)
+
+def test_ezra_host_present():
+    data = yaml.safe_load(INVENTORY.read_text())
+    hosts = data['all']['children']['turboquant_nodes']['hosts']
+    assert 'ezra-vps' in hosts
+
+def test_ezra_hardware_documented():
+    ezra = data['all']['children']['turboquant_nodes']['hosts']['ezra-vps']
+    hw = ezra['hardware']
+    assert 'cpu' in hw and 'memory_gb' in hw and 'gpu' in hw
+    assert '8' in str(hw['memory_gb'])
+
+def test_ezra_model_selected():
+    ezra = data['all']['children']['turboquant_nodes']['hosts']['ezra-vps']
+    tq = ezra['turboquant']
+    assert tq['enabled'] is True
+    assert 'gemma-4' in tq['model'].lower()
+    assert tq['preset'] == 'gguf_q4_0'