diff --git a/tasks/workstation/linux/software/llm.yml b/tasks/workstation/linux/software/llm.yml
index 840fb11..c06536a 100644
--- a/tasks/workstation/linux/software/llm.yml
+++ b/tasks/workstation/linux/software/llm.yml
@@ -59,7 +59,7 @@
         #   - qwen3.5:4b would be 3.3GB * 1.3 = 4290, rather than 4000.
         llm_size_coef: 1.3
         # Take the GB of RAM and use it as the MB of context.
-        llm_context: "{{ [(ansible_memtotal_mb | round(0, method='ceil')), 32000] | max | int }}"
+        llm_context: "{{ [(ansible_memtotal_mb | round(-3, method='ceil')), 32000] | max | int }}"
 
     - name: Workstation | Linux | Software | LLMs | Facts 02
       ansible.builtin.set_fact:
@@ -88,33 +88,33 @@
       ansible.builtin.set_fact:
         llm_installs: []
         llm_removals:
-          - { "model": "qwen3:4b", "provider": "qwen_30_0040", "size_mb": 4000, "context": 123456 }
-          - { "model": "qwen3.6:27b", "provider": "qwen_36_0270", "size_mb": 27000, "context": 123456 }
-          - { "model": "qwen3.5:27b", "provider": "qwen_35_0270", "size_mb": "{{ llm_size_coef * 17000 }}", "context": 123456 }
+          - { "purpose": "chat", "model": "qwen3:4b", "provider": "qwen_30_0040", "size_mb": 4000, "context": 123456 }
+          - { "purpose": "chat", "model": "qwen3.6:27b", "provider": "qwen_36_0270", "size_mb": 27000, "context": 123456 }
+          - { "purpose": "chat", "model": "qwen3.5:27b", "provider": "qwen_35_0270", "size_mb": "{{ llm_size_coef * 17000 }}", "context": 123456 }
         llm_choices:
             ### QWEN >3.5 - Need to try!
-          - { "model": "qwen3.8:27b", "provider": "qwen_38_0270", "size_mb": 27000, "context": 123456 }
-          - { "model": "qwen3.6:35b", "provider": "qwen_36_0350", "size_mb": 35000, "context": 123456 }
+          - { "purpose": ["chat", code], "model": "qwen3.8:27b", "provider": "qwen_38_0270", "size_mb": 27000, "context": 123456 }
+          - { "purpose": ["chat", code], "model": "qwen3.6:35b", "provider": "qwen_36_0350", "size_mb": 35000, "context": 123456 }
             ### QWEN 3.5 - Good for generic usage and a little coding.
-          - { "model": "qwen3.5:0.8b", "provider": "qwen_35_0008", "size_mb": "{{ llm_size_coef *  1200 }}", "context": 256000 }
-          - { "model": "qwen3.5:2b",   "provider": "qwen_35_0020", "size_mb": "{{ llm_size_coef *  2700 }}", "context": 256000 }
-          - { "model": "qwen3.5:4b",   "provider": "qwen_35_0040", "size_mb": "{{ llm_size_coef *  3300 }}", "context": 256000 }
-          - { "model": "qwen3.5:9b",   "provider": "qwen_35_0090", "size_mb": "{{ llm_size_coef *  6600 }}", "context": 256000 }
+          - { "purpose": "chat", "model": "qwen3.5:0.8b", "provider": "qwen_35_0008", "size_mb": "{{ llm_size_coef *  1200 }}", "context": 256000 }
+          - { "purpose": "chat", "model": "qwen3.5:2b",   "provider": "qwen_35_0020", "size_mb": "{{ llm_size_coef *  2700 }}", "context": 256000 }
+          - { "purpose": "chat", "model": "qwen3.5:4b",   "provider": "qwen_35_0040", "size_mb": "{{ llm_size_coef *  3300 }}", "context": 256000 }
+          - { "purpose": "chat", "model": "qwen3.5:9b",   "provider": "qwen_35_0090", "size_mb": "{{ llm_size_coef *  6600 }}", "context": 256000 }
               # skip 27b and use 35b
-          - { "model": "qwen3.5:35b",  "provider": "qwen_35_0350", "size_mb": "{{ llm_size_coef * 22000 }}", "context": 256000 }
-          - { "model": "qwen3.5:122b", "provider": "qwen_35_1220", "size_mb": "{{ llm_size_coef * 81000 }}", "context": 256000 }
+          - { "purpose": ["chat", code], "model": "qwen3.5:35b",  "provider": "qwen_35_0350", "size_mb": "{{ llm_size_coef * 22000 }}", "context": 256000 }
+          - { "purpose": ["chat", code], "model": "qwen3.5:122b", "provider": "qwen_35_1220", "size_mb": "{{ llm_size_coef * 81000 }}", "context": 256000 }
             ### QWEN 3.0 Coder - Supposed to be better than 2.5 for machines that can handle it.
-          - { "model": "qwen3-coder:30b",  "provider": "qwen_30_coder_0300", "size_mb": "{{ llm_size_coef *  19000 }}", "context": 123456 }
-          - { "model": "qwen3-coder:420b", "provider": "qwen_30_coder_4200", "size_mb": "{{ llm_size_coef * 290000 }}", "context": 123456 }
+          - { "purpose": "code", "model": "qwen3-coder:30b",  "provider": "qwen_30_coder_0300", "size_mb": "{{ llm_size_coef *  19000 }}", "context": 123456 }
+          - { "purpose": "code", "model": "qwen3-coder:420b", "provider": "qwen_30_coder_4200", "size_mb": "{{ llm_size_coef * 290000 }}", "context": 123456 }
             ### QWEN 2.5 Coder - Ol'reliable!
-          - { "model": "qwen2.5-coder:0.5b", "provider": "qwen_25_coder_0005", "size_mb": "{{ llm_size_coef *   398 }}", "context": 32000 }
-          - { "model": "qwen2.5-coder:1.5b", "provider": "qwen_25_coder_0015", "size_mb": "{{ llm_size_coef *   986 }}", "context": 32000 }
-          - { "model": "qwen2.5-coder:3b",   "provider": "qwen_25_coder_0030", "size_mb": "{{ llm_size_coef *  1900 }}", "context": 32000 }
-          - { "model": "qwen2.5-coder:7b",   "provider": "qwen_25_coder_0070", "size_mb": "{{ llm_size_coef *  4700 }}", "context": 32000 }
-          - { "model": "qwen2.5-coder:14b",  "provider": "qwen_25_coder_0140", "size_mb": "{{ llm_size_coef *  9000 }}", "context": 32000 }
-          - { "model": "qwen2.5-coder:32b",  "provider": "qwen_25_coder_0320", "size_mb": "{{ llm_size_coef * 20000 }}", "context": 32000 }
+          - { "purpose": "code", "model": "qwen2.5-coder:0.5b", "provider": "qwen_25_coder_0005", "size_mb": "{{ llm_size_coef *   398 }}", "context": 32000 }
+          - { "purpose": "code", "model": "qwen2.5-coder:1.5b", "provider": "qwen_25_coder_0015", "size_mb": "{{ llm_size_coef *   986 }}", "context": 32000 }
+          - { "purpose": "code", "model": "qwen2.5-coder:3b",   "provider": "qwen_25_coder_0030", "size_mb": "{{ llm_size_coef *  1900 }}", "context": 32000 }
+          - { "purpose": "code", "model": "qwen2.5-coder:7b",   "provider": "qwen_25_coder_0070", "size_mb": "{{ llm_size_coef *  4700 }}", "context": 32000 }
+          - { "purpose": "code", "model": "qwen2.5-coder:14b",  "provider": "qwen_25_coder_0140", "size_mb": "{{ llm_size_coef *  9000 }}", "context": 32000 }
+          - { "purpose": "code", "model": "qwen2.5-coder:32b",  "provider": "qwen_25_coder_0320", "size_mb": "{{ llm_size_coef * 20000 }}", "context": 32000 }
             ### Mistral, Ministral, and Devstral - By a French company?
-          - { "model": "devstral-small-2:24b", "provider": "devstral_20_0240_small", "size_mb": 24000, "context": 123456 }
+          - { "purpose": "code", "model": "devstral-small-2:24b", "provider": "devstral_20_0240_small", "size_mb": 24000, "context": 123456 }
           #- mistral:7b
           #- ministral-3:3b
           #- ministral-3:8b
@@ -213,7 +213,7 @@
               export OLLAMA_REQUEST_TIMEOUT=3600 # default 300 (unconfirmed, not in the list of --help vars)
 
               ### Resource Usage ###
-              export OLLAMA_KEEP_ALIVE=20m # default is 5m
+              export OLLAMA_KEEP_ALIVE=2h # default is 5m
               export OLLAMA_MAX_LOADED_MODELS={{ llm_concurrency }} # default is 3 if using CPUs, or 3 * NumGPUs
               export OLLAMA_NUM_PARALLEL={{ llm_parallel }} # default is 1 and applies per-model (unconfirmed)
               export OLLAMA_CONTEXT_LENGTH={{ llm_context }} # default is 4096, https://docs.ollama.com/faq#how-can-i-specify-the-context-window-size
@@ -584,6 +584,7 @@
         block: |
           {% for llm in llm_installs %}
           {% if llm.model in llm_models.stdout %}
+          {% if "chat" in llm.purpose %}
 
           [providers.models.ollama.{{ llm.provider }}]
           model = "{{ llm.model }}"
@@ -591,6 +592,7 @@
           context_window = {{ [llm_context, llm.context] | min | int }}
           max_tokens = {{ [llm_tokens, (llm.context / 4), 16000] | min | int }}
 
+          {% endif %}
           {% endif %}
           {% endfor %}
         state: present
@@ -615,6 +617,7 @@
 
             {% for llm in llm_installs %}
             {% if llm.model in llm_models.stdout %}
+            {% if "code" in llm.purpose %}
 
             - name: {{ llm.provider }}_chat-edit
               provider: ollama
@@ -632,6 +635,7 @@
               roles:
                 - autocomplete
 
+            {% endif %}
             {% endif %}
             {% endfor %}
         mode: "0644"