feat(coder-seat): Qwen2.5-Coder-1.5B copy on nh3-ml1 (not yet in the gateway)
Same model revision (df3ce67, blob sha matches fv-ml1), vLLM v0.24.0 and flags; 0.33 of the Ada (~5.4 GB, fv-ml1's absolute budget). Healthy, KV 79,808 tokens. Parity (teacher-forced true code, 40 FIM prompts, 2,215 tokens, cache-salted): each host is bit-exact with itself; cross-host |dlogprob| median 0.049, top-1 agreement 0.966 (Blackwell vs Ada + fp8 KV); against ground truth no quality difference (mean logprob diff +0.008 +/- 0.019 SE). Speed on-box: ~5x slower (64-tok FIM p50 ~1.0 s vs ~0.2 s; 63 vs 338 tok/s). Gateway coder-fast left on fv-ml1 pending Prime's call.
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# coder-seat tunables (nh3-ml1). Copy to `.env` on the server.
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# Same vLLM as fv-ml1's seat, so the move changes only the GPU.
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VLLM_VERSION=v0.24.0
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# Same port as on fv-ml1, so the gateway entry changes only its host.
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CODER_PORT=8020
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CODER_MODEL=Qwen/Qwen2.5-Coder-1.5B
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CODER_REVISION=df3ce67c0e24480f20468b6ef2894622d69eb73b
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CODER_SERVED_NAME=qwen2.5-coder-1.5b
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CODER_MAX_MODEL_LEN=16384
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CODER_MAX_NUM_SEQS=32
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CODER_KV_CACHE_DTYPE=fp8
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# Fraction of the Ada's TOTAL 16,380 MiB: 0.33 ≈ 5.4 GB, the same absolute
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# budget fv-ml1 gave it (0.055 of 97,887 MiB). Weights ~3.1 GB bf16; fp8 KV is
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# ~14 KB/token, so the rest holds far more than one 16k sequence. vLLM checks
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# it against FREE memory at start; TEI holds ~2.6 GB of the card.
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CODER_GPU_MEM_UTIL=0.33
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# Matches fv-ml1: no key (internal network; the gateway fronts it).
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API_KEY=
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# coder-seat
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The fleet's small code-completion model on **nh3-ml1** (CT 109 on nh3-pve, RTX
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2000E Ada): **Qwen/Qwen2.5-Coder-1.5B** (the BASE model, used for
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fill-in-the-middle), vLLM v0.24.0, `:8020`. It shares the card with TEI
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embed/rerank (`stacks/embed-rerank`).
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Moved from fv-ml1's `vllm` stack on 2026-09-25 (Prime: utility seats off the
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Blackwells). It was chosen for Zed edit-predictions by a deep-research pass on
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2026-07-27 (Apache-2.0).
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| | |
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|---|---|
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| endpoint | `http://10.100.50.80:8020/v1/completions` (FIM: `<\|fim_prefix\|>…<\|fim_suffix\|>…<\|fim_middle\|>`) |
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| served name | `qwen2.5-coder-1.5b` |
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| gateway | `coder-fast` → `hosted_vllm/qwen2.5-coder-1.5b` (ana-docker:4000) |
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| revision | `df3ce67c0e24480f20468b6ef2894622d69eb73b` (pinned; same as fv-ml1 and HF main on 2026-09-25) |
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| memory | 0.33 of 16,380 MiB ≈ 5.4 GB, the same absolute budget as on fv-ml1 |
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## ⏸ Status 2026-09-25 2355: running, NOT behind the gateway (Prime deciding)
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The copy is up and parity-checked, but the gateway still points `coder-fast` at
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fv-ml1. On the 50 W Ada the same model is **about 5× slower**, which Zed
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edit-predictions would notice.
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**Speed, measured on each box** (3 interleaved reps each; fv-ml1 GPU 1 read 0%
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before and after):
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| workload | nh3-ml1 | fv-ml1 |
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|---|---|---|
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| time to first token (1 token), p50 | 20.3–20.9 ms | 7.9–9.7 ms |
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| FIM completion (1,500-char prefix, 64 tokens), p50 | **1,020–1,089 ms** | 198–206 ms |
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| decode, tokens/s | 62.7–63.2 | 337.6–337.7 |
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**Parity: same quality, different kernels.** The test uses 40 FIM prompts from
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this repo's scripts, with the file's real next 200 characters teacher-forced
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(2,215 tokens). Every run is a fresh prefill (`cache_salt`).
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- Each host repeats itself bit-exactly: the floor is |Δlogprob| 0 and top-1
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agreement 1.0 on both.
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- Across hosts, per-token |Δlogprob| has median 0.049 and p99 1.72, and top-1
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agreement is 0.966. The cause is Blackwell vs Ada kernels plus the fp8 KV
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cache. The positive control (suffix dropped) gives median 1.46 and 0.58.
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- **Against the real code there is no difference.** Mean logprob is −1.6095
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(nh3) vs −1.6178 (fv), a paired difference of +0.008 ± 0.019 SE. The true-token
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top-1 rate is 0.739 vs 0.742 (−0.002 ± 0.003).
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- ⚠ Greedy exact-match is not a usable parity test for this seat. Same-host
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greedy repeats matched only 30–38%, because run B hit the prefix cache and
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took a numerically different path, and near-tie tokens cascade.
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## Consumers
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Everything goes through the gateway alias `coder-fast`. **Zed edit-predictions**
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reach it through `stacks/zed-fim-proxy` on ana-docker. The proxy injects a
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`coder-fast`-scoped virtual key and forwards to LiteLLM `:4000`, so only the
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gateway entry holds this seat's address. It saw 20 requests in the 7 days before
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the move.
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## Deploy
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```bash
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scripts/deploy-stack.sh nh3-ml1 coder-seat
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ssh nh3-ml1 'cd /opt/docker/compose/coder-seat && cp -n .env.example .env && docker compose config -q && docker compose up -d'
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```
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# coder-seat — the fleet's small code-completion model, on nh3-ml1 (CT 109 on
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# nh3-pve, RTX 2000E Ada, 16 GB).
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#
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# Moved here from fv-ml1's `vllm` stack on 2026-09-25 (Prime: utility seats off
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# the Blackwells). Same model revision, same vLLM version and flags; only the
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# GPU, the host and the memory fraction changed (the fraction is of a 16 GB card
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# now, sized to the same ~5.4 GB absolute budget).
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#
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# vllm-coder Qwen/Qwen2.5-Coder-1.5B (BASE, FIM) → /v1/completions :8020
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#
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# Consumers: the gateway alias `coder-fast` (ana-docker:4000,
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# stacks/litellm/conf/config.yaml) and Zed edit-predictions (see README for how
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# Zed reaches it).
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#
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# Shares the card with TEI embed/rerank (stacks/embed-rerank, ~2.6 GB).
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name: coder-seat
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services:
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vllm-coder:
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image: vllm/vllm-openai:${VLLM_VERSION}
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container_name: vllm-coder
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restart: unless-stopped
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ipc: host
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ports:
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- "${CODER_PORT}:8000"
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volumes:
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- /opt/aimodels/huggingface:/hfcache
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environment:
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- HF_HOME=/hfcache
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- HF_HUB_CACHE=/hfcache/hub
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- VLLM_API_KEY=${API_KEY:-}
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command:
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- ${CODER_MODEL}
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# Pinned: the revision fv-ml1 served (and HF main as of 2026-09-25).
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- --revision
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- ${CODER_REVISION}
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- --served-model-name
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- ${CODER_SERVED_NAME}
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- --host
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- 0.0.0.0
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- --port
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- "8000"
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- --gpu-memory-utilization
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- ${CODER_GPU_MEM_UTIL}
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- --max-model-len
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- ${CODER_MAX_MODEL_LEN}
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- --max-num-seqs
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- ${CODER_MAX_NUM_SEQS}
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- --dtype
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- auto
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- --kv-cache-dtype
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- ${CODER_KV_CACHE_DTYPE}
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- --enable-prefix-caching
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deploy:
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resources:
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reservations:
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devices:
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- driver: nvidia
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device_ids: ["0"]
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capabilities: [gpu]
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healthcheck:
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test: ["CMD", "curl", "-f", "http://localhost:8000/health"]
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interval: 30s
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timeout: 10s
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retries: 3
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start_period: 300s
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labels:
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- homepage.group=AI - Inference
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- homepage.name=vLLM Qwen2.5-Coder 1.5B (FIM, nh3-ml1)
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- homepage.icon=mdi-code-braces
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- homepage.description=Qwen2.5-Coder-1.5B FIM code-completion (gateway coder-fast, Zed edit-predictions)
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- homepage.href=http://10.100.50.80:${CODER_PORT}/docs
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