add phase08_ollama_json1b.json

results/phase08_ollama_json1b.json

@@ -0,0 +1,31 @@
+{
+  "model": "slm-lab-json1b",
+  "gguf": "json1b-Q4_K_M.gguf",
+  "gguf_bytes": 807694016,
+  "template": "llama32",
+  "template_text": "{{ if .System }}<|start_header_id|>system<|end_header_id|>\n\n{{ .System }}<|eot_id|>{{ end }}<|start_header_id|>user<|end_header_id|>\n\n{{ .Prompt }}<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\n",
+  "stops": [
+    "<|eot_id|>",
+    "<|end_of_text|>"
+  ],
+  "system": "Convert the expense line into a JSON object with exactly these keys: amount (number), currency (one of INR, USD, EUR, GBP, JPY), merchant (string), category (one of food, transport, groceries, utilities, entertainment, health, shopping, travel, other), date (YYYY-MM-DD), split (integer, 1 if not stated), note (string or null). Reply with the JSON object only.",
+  "results": [
+    {
+      "prompt": "Today is 2026-10-02.\nExpense: lunch with the team at Saravana Bhavan 840 rupees yesterday, split 4 ways",
+      "response": "{\"amount\": 840.0, \"currency\": \"INR\", \"merchant\": \"Saravana Bhavan\", \"category\": \"food\", \"date\": \"2026-10-01\", \"split\": 4, \"note\": null}",
+      "done_reason": "stop",
+      "eval_count": 54,
+      "tokens_per_second": 140.81275033377838,
+      "stopped_on_its_own": true
+    },
+    {
+      "prompt": "Today is 2026-10-02.\nExpense: uber to the airport INR 1,250 this morning",
+      "response": "{\"amount\": 1250.0, \"currency\": \"INR\", \"merchant\": \"Uber\", \"category\": \"transport\", \"date\": \"2026-10-02\", \"split\": 1, \"note\": null}",
+      "done_reason": "stop",
+      "eval_count": 51,
+      "tokens_per_second": 178.5620503124836,
+      "stopped_on_its_own": true
+    }
+  ],
+  "all_stopped_on_their_own": true
+}