vh
27155c0f3b
Straight-across replacement of the dense G4-MeroMero-v2-31B-NVFP4A16 seat with google/gemma-4-26B-A4B-it on ana-ml2 GPU0. Port, served-model-names and every gateway route are unchanged, so no consumer sees a difference in addressing: `char-rp` -> hosted_vllm/char-rp and `char-rp-reasoning` -> hosted_vllm/char-rp-thinking, both still :8016. The seat's requirements now include chain-of-thought, which makes throughput more critical rather than less — the user waits through the whole reasoning block before the first visible token, and the MoE measures ~114 tok/s @32K against the dense 31B's ~40.7. Both artifacts are on disk and they are NOT interchangeable. The BF16 weights (/tank/aimodels/gemma4-26b-a4b-it-bf16, 49 GB) are the QLoRA tuning base, since QLoRA does its own quantization. They CANNOT be served here: 48.10 GiB of weights against ~49 GiB of free GPU0 leaves nothing for KV cache, and the engine would die at allocation exactly the way the predecessor did this afternoon. The serving copy is RedHatAI/gemma-4-26B-A4B-it-NVFP4 (16 GB), chosen over the other -it quants because it is compressed-tensors (nvfp4-pack-quantized) — the same loader path the outgoing seat used — from the llm-compressor team at 357k downloads. The nvidia/ repo is the base rather than -it, and the thinking channel lives in the instruction-tuned weights. Smaller weights at the same 0.47 memory budget buy a much larger KV pool: 27.37 GiB and 1,724,110 tokens, against the predecessor's 371,023 at the same budget. That is 6.5 full-length 262K sequences concurrent rather than 1.4. The gemma4 tool-call parser, reasoning parser and the enable_thinking:false default all carry over unchanged — they are architecture-level, not checkpoint-level. The --chat-template override does NOT carry over: MeroMero pointed at a jinja hand-patched against that checkpoint, and this model ships its own. Verified that dropping it did not reintroduce the failure that flag existed to prevent — non-thinking prose lands in content with reasoning_content empty, and the thinking alias populates reasoning_content with content carrying the answer. ⚠ Scheme differs from the incumbent and the bench should say so: this quant declares 4-bit input activations (W4A4) where the outgoing seat was NVFP4A16. Faster, and not like-for-like on the activation axis. meromero-charrp is retained stopped in `created` state and relabelled to AI - Dormant, per the house rollback pattern. Both stacks want :8016, so rolling back means stopping the gemma4 seat first.
103 lines
4.3 KiB
YAML
103 lines
4.3 KiB
YAML
# meromero-charrp — G4-MeroMero-v2-31B NVFP4A16 char-rp PROSE seat (non-thinking, MULTIMODAL)
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# on ana-ml2 GPU0. Replaces the retired Magidonia GGUF seat (char-rp-gguf / llama-charrp).
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#
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# Gemma-4 dense but with SLIDING-WINDOW attention -> KV-efficient, serves the full native 256K
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# at ~2x concurrency. Vision enabled: preprocessor_config.json was materialized from
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# processor_config.json's image_processor section (Gemma4ImageProcessor); audio is
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# config-declared but weightless (no audio tensors) so it serves image + text.
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#
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# Co-located on GPU0 with vllm-aeon-gen (gen). util 0.52 leaves ~5GB GPU0 headroom
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# (0.55 left only ~1.8GB). Tunables in .env.
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name: meromero-charrp
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services:
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vllm-meromero-rp:
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image: ${MEROMERO_IMAGE:-vllm/vllm-openai:latest}
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container_name: ${MEROMERO_CONTAINER:-vllm-meromero-rp}
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restart: unless-stopped
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ipc: host
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ports:
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- "${MEROMERO_PORT:-8016}:8000"
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volumes:
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- /tank/aimodels:/tank/aimodels
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environment:
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- PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True
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- VLLM_API_KEY=${API_KEY:-}
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command:
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- ${MEROMERO_MODEL:-/tank/aimodels/meromero-v2-nvfp4-work/G4-MeroMero-v2-31B-NVFP4A16}
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- --quantization
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- compressed-tensors
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- --served-model-name
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- char-rp
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- char-rp-thinking
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# Tool-calling: Gemma-4 emits its OWN native syntax
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# (<|tool_call>call:name{...}<tool_call|>), NOT the qwen3_coder XML the
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# other seats use. vLLM 0.24 ships a matching `gemma4` parser whose token
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# constants line up with this tokenizer's etc/eoc/escape tokens exactly.
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# Without these two flags any tools-bearing request 400s outright.
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- --tool-call-parser
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- gemma4
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- --enable-auto-tool-choice
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# The gemma4 REASONING parser is what absorbs the <|channel>...<channel|>
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# thought markers; without it they leak into `content` verbatim on the
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# post-tool-response turn (upstream vllm #45834 — the chat template leaves
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# the prompt inside an open channel block).
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- --reasoning-parser
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- gemma4
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# Dwarf-panel CoT patch 2026-08-21: force-open <|channel> on enable_thinking:true
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- --chat-template
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- /tank/aimodels/meromero-v2-nvfp4-work/patched_chat_template.jinja
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# MANDATORY companion to the reasoning parser on this seat. The parser
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# reads enable_thinking from chat_template_kwargs and DEFAULTS IT TO TRUE
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# (vllm/parser/gemma4.py:439). True makes is_reasoning_end() return False
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# at a new turn, which pre-initialises the engine to REASONING -> ALL plain
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# RP prose lands in reasoning_content with a NULL content, breaking every
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# char-rp consumer. This template already defaults enable_thinking to false
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# (chat_template.jinja:350), so passing it explicitly renders a BYTE-
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# IDENTICAL prompt (verified across plain/tools/post-tool/system shapes) --
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# it only corrects the parser's state machine. Do not remove.
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- --default-chat-template-kwargs
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- '{"enable_thinking": false}'
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- --max-model-len
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- "${MEROMERO_MAX_MODEL_LEN:-262144}"
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- --max-num-seqs
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- "${MEROMERO_MAX_NUM_SEQS:-32}"
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- --gpu-memory-utilization
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- "${MEROMERO_GPU_MEM_UTIL:-0.52}"
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- --kv-cache-dtype
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- fp8
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- --trust-remote-code
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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:
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- "${MEROMERO_GPU_ID:-0}"
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capabilities:
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- gpu
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healthcheck:
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test: ["CMD", "curl", "-f", "http://localhost:8000/health"]
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interval: 30s
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timeout: 10s
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retries: 3
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start_period: 600s
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networks:
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- tnet
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labels:
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# STOPPED 2026-08-24 — superseded by stacks/gemma4-charrp (gemma-4-26B-A4B
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# -it NVFP4 MoE) on the same port and the same served-model-names. Kept as
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# the rollback seat: `docker compose up -d vllm-meromero-rp` here after
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# stopping the gemma4 one, since both want :8016.
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- homepage.group=AI - Dormant
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- homepage.name=char-rp (MeroMero-v2 NVFP4) — rollback
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- homepage.icon=mdi-drama-masks
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- homepage.description=Superseded 2026-08-24 by the Gemma-4 26B-A4B MoE seat; dense 31B NVFP4A16, kept for rollback (ana-ml2 GPU0)
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- homepage.href=http://10.250.50.54:${MEROMERO_PORT:-8016}/docs
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networks:
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tnet:
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name: traefik-net
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external: true
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