Mortdecai
df5542f7d6
Three-arm harness under scripts/native-bakeoff/: - arm A: /api/chat with JSON tools (current default) - arm B: /api/generate raw:true with canonical HF jinja template rendered directly - arm C: google-deepmind/gemma JAX ToolSampler (env-gated, JAX required) Interim finding from A+B sweep on matt-strix gemma4:26b Q4: Ollama's bidirectional JSON↔native tool-call translator is faithful. The "long" multi-tool task produces identical behavior (7 steps / 6 tools) on both arms. Earlier arm-B parser bug that looked like a divergence was a harness issue: preserving the model's <|channel>thought\n<channel|> prefix as assistant content tripped the jinja template's tool_response-following conditional, appending a spurious <turn|>\n that corrupted the next step's prompt. Fixed by dropping the channel prefix on the assistant message. Arm C left as scaffolded-but-not-run — the JAX/bf16 reference path would answer "does the GGUF runtime diverge from DeepMind's implementation" but requires a separate env with the `gemma` PyPI package. Parked pending SDXL eviction or vast-h100 session. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
47 lines
2.7 KiB
JSON
47 lines
2.7 KiB
JSON
{
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"arm": "ollama-native",
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"model": "gemma4:26b",
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"num_ctx": 8192,
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"num_predict": 2048,
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"started_at": 1776600752.7453067,
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"turns": [
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{
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"step": 1,
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"elapsed_s": 0.89,
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"prompt_eval_count": 1306,
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"eval_count": 26,
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"content_len": 109,
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"tool_call_count": 1,
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"stop_reason": "stop",
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"history_chars_before_append": 2656,
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"raw_completion_head": "<|channel>thought\n<channel|><|tool_call>call:memory_read{query:<|\"|>home automation<|\"|>,user:<|\"|>seth<|\"|>}",
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"raw_completion_tail": "",
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"prompt_tail": "yz: hey mort what's the deal with the proxmox cluster nodes again<turn|>\n<|turn>model\nFour nodes: pve173 (tank ZFS host, PowerEdge R820), pve112 (workhorse), pve241 (caddy + game servers), and pve197 (GPU inference). Corosync on 10.10.10.0/24.<turn|>\n<|turn>user\n[2026-04-18 14:20] @seth:sethpc.xyz: What do I have stored about home automation? If anything, summarize it briefly.<turn|>\n<|turn>model\n",
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"prompt_head": "<bos><|turn>system\nYou are Mort, a direct and witty AI assistant on Seth's Matrix server. Powered by Gemma 4. Current time: Saturday, April 18 2026 02:30 PM EDT.\n\nWhen a tool can answer the question, "
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},
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{
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"step": 2,
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"elapsed_s": 1.81,
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"prompt_eval_count": 1424,
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"eval_count": 65,
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"content_len": 233,
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"tool_call_count": 0,
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"stop_reason": "stop",
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"history_chars_before_append": 2928,
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"raw_completion_head": "<|channel>thought\n<channel|>You've got the standard setup: Home Assistant running on VM 706 (on `pve173`), utilizing Zigbee2MQTT and an MQTT broker on CT 149. It's currently handling your LG TV, lighting, and Frigate NVR integration.",
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"raw_completion_tail": "",
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"prompt_tail": "<|\"|>home automation<|\"|>,user:<|\"|>seth<|\"|>}<tool_call|><|tool_response>response:memory_read{value:<|\"|>memories matching 'home automation':\n- home_automation: Seth uses Home Assistant on VM 706 (pve173) with Zigbee2MQTT and MQTT broker on CT 149. Integrates with LG TV, lights, and Frigate NVR.\n- preferences: dark theme with orange accents (#D35400), Sethflix/Sethian brand.<|\"|>}<tool_response|>",
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"prompt_head": "<bos><|turn>system\nYou are Mort, a direct and witty AI assistant on Seth's Matrix server. Powered by Gemma 4. Current time: Saturday, April 18 2026 02:30 PM EDT.\n\nWhen a tool can answer the question, "
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}
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],
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"final": {
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"halt_reason": "no_tool_calls",
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"steps_used": 2,
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"tool_calls_total": 1,
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"wall_clock_s": 2.7,
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"final_message_count": 16,
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"final_history_chars": 3161
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},
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"task": "memory",
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"task_prompt": "What do I have stored about home automation? If anything, summarize it briefly."
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} |