# coder-seat The fleet's small code-completion model on **nh3-ml1** (CT 109 on nh3-pve, RTX 2000E Ada): **Qwen/Qwen2.5-Coder-1.5B** (the BASE model, used for fill-in-the-middle), vLLM v0.24.0, `:8020`. It shares the card with TEI embed/rerank (`stacks/embed-rerank`). Moved from fv-ml1's `vllm` stack on 2026-09-25 (Prime: utility seats off the Blackwells). It was chosen for Zed edit-predictions by a deep-research pass on 2026-07-27 (Apache-2.0). | | | |---|---| | endpoint | `http://10.100.50.80:8020/v1/completions` (FIM: `<\|fim_prefix\|>…<\|fim_suffix\|>…<\|fim_middle\|>`) | | served name | `qwen2.5-coder-1.5b` | | gateway | `coder-fast` → `hosted_vllm/qwen2.5-coder-1.5b` (ana-docker:4000) | | revision | `df3ce67c0e24480f20468b6ef2894622d69eb73b` (pinned; same as fv-ml1 and HF main on 2026-09-25) | | memory | 0.33 of 16,380 MiB ≈ 5.4 GB, the same absolute budget as on fv-ml1 | ## ⏸ Status 2026-09-25 2355: running, NOT behind the gateway (Prime deciding) The copy is up and parity-checked, but the gateway still points `coder-fast` at fv-ml1. On the 50 W Ada the same model is **about 5× slower**, which Zed edit-predictions would notice. **Speed, measured on each box** (3 interleaved reps each; fv-ml1 GPU 1 read 0% before and after): | workload | nh3-ml1 | fv-ml1 | |---|---|---| | time to first token (1 token), p50 | 20.3–20.9 ms | 7.9–9.7 ms | | FIM completion (1,500-char prefix, 64 tokens), p50 | **1,020–1,089 ms** | 198–206 ms | | decode, tokens/s | 62.7–63.2 | 337.6–337.7 | **Parity: same quality, different kernels.** The test uses 40 FIM prompts from this repo's scripts, with the file's real next 200 characters teacher-forced (2,215 tokens). Every run is a fresh prefill (`cache_salt`). - Each host repeats itself bit-exactly: the floor is |Δlogprob| 0 and top-1 agreement 1.0 on both. - Across hosts, per-token |Δlogprob| has median 0.049 and p99 1.72, and top-1 agreement is 0.966. The cause is Blackwell vs Ada kernels plus the fp8 KV cache. The positive control (suffix dropped) gives median 1.46 and 0.58. - **Against the real code there is no difference.** Mean logprob is −1.6095 (nh3) vs −1.6178 (fv), a paired difference of +0.008 ± 0.019 SE. The true-token top-1 rate is 0.739 vs 0.742 (−0.002 ± 0.003). - ⚠ Greedy exact-match is not a usable parity test for this seat. Same-host greedy repeats matched only 30–38%, because run B hit the prefix cache and took a numerically different path, and near-tie tokens cascade. ## Consumers Everything goes through the gateway alias `coder-fast`. **Zed edit-predictions** reach it through `stacks/zed-fim-proxy` on ana-docker. The proxy injects a `coder-fast`-scoped virtual key and forwards to LiteLLM `:4000`, so only the gateway entry holds this seat's address. It saw 20 requests in the 7 days before the move. ## Deploy ```bash scripts/deploy-stack.sh nh3-ml1 coder-seat ssh nh3-ml1 'cd /opt/docker/compose/coder-seat && cp -n .env.example .env && docker compose config -q && docker compose up -d' ```