eSliderandGitHub
a331042488
OQ3: internal/duckstats + bin/qa/stats.go. Zig stays Ladybug-only. mikefarah/yq for small structured slices. Gitea #30.
72 lines
2.8 KiB
Markdown
72 lines
2.8 KiB
Markdown
# Reasoner bake-off (D18)
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Pluggable OpenAI-compatible URL. 2dph does not ship weights. PicoClaw is
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compose profile `picoclaw` (`sipeed/picoclaw`); the bake-off hits the same
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tool names (`search` → `get` → `audit` from `internal/httpapi.Ops`).
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```bash
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docker compose --profile reasoner up -d reasoner
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docker compose --profile reasoner exec reasoner ollama pull qwen3.5:9b
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REASONER_BASE_URL=http://127.0.0.1:11435/v1 REASONER_MODEL=qwen3.5:9b \
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./bin/reasoner/bakeoff.go --json
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```
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JSON includes `latency_p50_ms` / `latency_p95_ms` from DuckDB (`internal/duckstats`, D22).
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Host Ollama on `:11434` is left alone. This sidecar binds `127.0.0.1:11435`
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with `OLLAMA_NUM_GPU=0` (CPU). Measure RSS (`/api/ps` `size`), not VRAM.
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If Compose cannot allocate a project network (Docker IPAM pool exhausted),
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the same sidecar is:
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```bash
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docker run -d --name 2dph-reasoner \
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-e OLLAMA_NUM_GPU=0 \
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-p 127.0.0.1:11435:11434 \
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-v 2dph-reasoner-ollama:/root/.ollama \
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ollama/ollama:latest
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```
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## Real Hugging Face ids
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| Role | HF id | Ollama tag (this bake-off) |
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|------|-------|----------------------------|
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| RAM / 9B | `Qwen/Qwen3.5-9B` | `qwen3.5:9b` |
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| Quality 27B (CPU) | `prism-ml/Bonsai-27B-gguf` (derived from Qwen3.6-27B) | `MichelRosselli/bonsai-27b:Q1_0` |
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| Quality 27B (full) | `Qwen/Qwen3.6-27B` | not pulled on this CPU box |
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There is **no official Qwen3.6-9B**. Do not invent that id.
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Qwen3.5-9B has documented upstream tool-call XML bugs. A 9B win on tools
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is only claimed if this bake-off records OpenAI `tool_calls` (not
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`<tool_call>` XML in `content`).
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The 2dph API image does not `COPY` GGUF/safetensors. Pull at runtime into
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the `reasoner-ollama` volume.
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## Live CPU run
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Host sidecar: Ollama **0.32.9**, `OLLAMA_NUM_GPU=0`, `127.0.0.1:11435`,
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`device: cpu`, `vram_mb: 0`. Date: 2026-08-13. Same three prompts
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(`search` / `get` / `audit`). PicoClaw binary was not used; the OpenAI
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tools payload is the surface it would send.
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| Model | HF id | tool_call | xml_leak | rss_mb | latency_ms (search/get/audit) |
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|-------|-------|-----------|----------|--------|-------------------------------|
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| `qwen3.5:9b` | `Qwen/Qwen3.5-9B` | 3/3 | 0 | 5790 | 50059 / 51678 / 31980 |
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| `MichelRosselli/bonsai-27b:Q1_0` | `prism-ml/Bonsai-27B-gguf` | 3/3 | 0 | 21951 | 327702 / 166830 / 119808 |
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| `Qwen/Qwen3.6-27B` | `Qwen/Qwen3.6-27B` | not loaded | — | — | too heavy for this CPU box |
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Both loaded models emitted OpenAI `tool_calls` (not `<tool_call>` XML) on
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this runtime. **Do not claim 9B is better at tools** — the score is tied
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at 3/3. 9B is smaller and faster. Bonsai RSS includes weights + KV
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(`size` from `/api/ps`); first Bonsai prompt includes cold load.
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Re-run:
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```bash
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REASONER_BASE_URL=http://127.0.0.1:11435/v1 REASONER_MODEL=qwen3.5:9b \
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./bin/reasoner/bakeoff.go --json
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REASONER_MODEL=MichelRosselli/bonsai-27b:Q1_0 ./bin/reasoner/bakeoff.go --json
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```
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