feat(erp-seat): run 7 quantized to NVFP4A16 and serving as the trial seat on ana-ml2
- services/erp-seat-quant/run_quant_erp_v7.sh: v6 runner retargeted; dry-run gate passed identically (11,725 targets, 11,520 experts = 30x128x3, routers+vision BF16) - 49 GiB bf16 relayed gx10 -> ana-ml2 (no key path either way; nh3-dev relays), checksums verified against source; quant 49 -> 16 GiB, all post-steps clean - stacks/erp-seat: .env-driven swap to erp-tune-v7-nvfp4a16, served under its TRUE name; homepage labels + README updated, v6 rollback path recorded - stacks/litellm: trial -> erp-tune-v7-nvfp4a16 (config-file alias; /model/update refuses a config model, so this is an edit + restart)
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@@ -1,11 +1,18 @@
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# erp-seat — ERP-tune seat on ana-ml2 (GPU1, `:8021`)
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Serves the latest gated ERP LoRA merge as an **NVFP4A16** (weight-only) compressed-tensors
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checkpoint so the GX10 is free to train the next run. First occupant: **run 6** —
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`erp-tune-v6-nvfp4a16` = merged-run06 (jenerallee78 ARA-abliterated Gemma-4-26B-A4B-it, index
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`33c59654…`, + R47 SFT r6) quantized by `services/erp-seat-quant/`.
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checkpoint so the GX10 is free to train the next run.
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- **True name only.** `--served-model-name erp-tune-v6-nvfp4a16`. Gateway aliases (`trial`) are
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**Current occupant: run 7** — `erp-tune-v7-nvfp4a16` = merged-run07 (jenerallee78
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ARA-abliterated Gemma-4-26B-A4B-it, index `33c59654…`, + R47 SFT r7 = r6 plus the opening-split
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slot and its companion loss mask), quantized by `services/erp-seat-quant/` on 2026-09-09.
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49 GiB bf16 → 16 GiB NVFP4A16. Runbook `docs/runbooks/gx10-run-07.md`.
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*Previous: run 6 (`erp-tune-v6-nvfp4a16`, 2026-09-08). Its artifact is still on `/tank/aimodels/`
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and the pre-swap host env is at `/tmp/erp-seat-env.v6.bak` on ana-ml2, so a rollback is an `.env`
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flip plus `docker compose up -d`.*
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- **True name only.** `--served-model-name erp-tune-v7-nvfp4a16`. Gateway aliases (`trial`) are
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set in LiteLLM on the operator's word, never here (no silent substitution — the bf16 arm on the
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GX10 and this NVFP4 arm are different artifacts).
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- **Recipe** = `stacks/gemma4-charrp` (same arch + format, proven on this box): `gemma4` tool
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@@ -1,5 +1,5 @@
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# erp-seat — the ERP-tune seat on ana-ml2 GPU1: NVFP4A16 quant of the latest gated ERP LoRA merge
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# (run 6 = jenerallee78 ARA-abliterated Gemma-4-26B-A4B + R47 SFT), served under its TRUE name.
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# (run 7 = jenerallee78 ARA-abliterated Gemma-4-26B-A4B + R47 SFT + the opening-split slot), served under its TRUE name.
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# Routing aliases (e.g. LiteLLM `trial`) are the operator's call and live in the gateway, not here.
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#
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# Serve recipe copied from stacks/gemma4-charrp (same architecture + quant format, proven on this
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@@ -23,11 +23,11 @@ services:
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environment:
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- VLLM_API_KEY=${API_KEY:-}
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command:
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- ${ERP_MODEL:-/tank/aimodels/erp-tune-v6-nvfp4a16}
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- ${ERP_MODEL:-/tank/aimodels/erp-tune-v7-nvfp4a16}
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- --quantization
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- compressed-tensors
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- --served-model-name
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- ${ERP_SERVED_NAME:-erp-tune-v6-nvfp4a16}
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- ${ERP_SERVED_NAME:-erp-tune-v7-nvfp4a16}
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- --tool-call-parser
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- gemma4
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- --enable-auto-tool-choice
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@@ -47,7 +47,7 @@ services:
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# an empty turn. The flag drops the tools from the prompt so the model answers in prose.
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- --exclude-tools-when-tool-choice-none
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- --chat-template
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- ${ERP_CHAT_TEMPLATE:-/tank/aimodels/erp-tune-v6-nvfp4a16/chat_template.jinja}
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- ${ERP_CHAT_TEMPLATE:-/tank/aimodels/erp-tune-v7-nvfp4a16/chat_template.jinja}
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- --max-model-len
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- "${ERP_MAX_MODEL_LEN:-32768}"
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- --max-num-seqs
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@@ -76,9 +76,9 @@ services:
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- tnet
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labels:
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- homepage.group=AI - Inference
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- homepage.name=erp-tune-v6 (Gemma-4 26B-A4B ARA, NVFP4A16)
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- homepage.name=erp-tune-v7 (Gemma-4 26B-A4B ARA, NVFP4A16)
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- homepage.icon=mdi-fire
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- homepage.description=ERP-seat run-6 LoRA merge on the jenerallee78 abliteration, NVFP4A16 MoE (ana-ml2 GPU1)
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- homepage.description=ERP-seat run-7 LoRA merge on the jenerallee78 abliteration, NVFP4A16 MoE (ana-ml2 GPU1)
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- homepage.href=http://10.250.50.54:${ERP_PORT:-8021}/docs
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networks:
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