feat(vllm,litellm): lfm2.5-2.6b non-prod bake-off alias for brokkr

vllm-lfm25 on ana-ml2 GPU1 :8021 (LiquidAI/LFM2.5-2.6B, util 0.09 into
unreserved slack, max-len 16384, no reasoning-parser so content is non-empty).
LiteLLM alias lfm2.5-2.6b with vendor sampling baked as default (temp 0.1;
top_k 50 + repetition_penalty 1.1 via extra_body). Eval-only, not in any
routing chain, pending operator ruling on LFM Open License production use.
This commit is contained in:
vh
2026-08-10 07:13:37 -07:00
parent c8acf60449
commit edc9f42da1
4 changed files with 100 additions and 1 deletions
+67
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@@ -342,6 +342,73 @@ services:
- homepage.description=Qwen2.5-Coder-1.5B FIM code-completion (ana-ml2, Zed edit-predictions)
- homepage.href=http://10.250.50.54:${CODER_PORT}/docs
vllm-lfm25:
image: vllm/vllm-openai:${VLLM_VERSION}
container_name: vllm-lfm25
restart: unless-stopped
ipc: host
ports:
- "${LFM25_PORT}:8000"
volumes:
- /tank/aimodels/huggingface:/hfcache
environment:
- HF_HOME=/hfcache
- HF_HUB_CACHE=/hfcache/hub
- HUGGING_FACE_HUB_TOKEN=${HF_TOKEN:-}
- VLLM_API_KEY=${API_KEY:-}
command:
# LiquidAI/LFM2.5-2.6B (BF16, Lfm2ForCausalLM). NON-PRODUCTION bake-off alias
# vs granite-4.1-8b on structured extraction / classification / tool-call
# formatting (brokkr R-target, 2026-08-10). LFM Open License v1.0 (<USD 10M-rev
# commercial, not OSI) — EVAL-ONLY pending an operator ruling on production; NOT
# wired into any default/fallback routing chain. Reasoning model: the chat
# template opens <think>; deliberately NO --reasoning-parser, so the full
# generation (thinking + answer) lands in `content` non-empty — brokkr's explicit
# requirement (an empty content with the answer stranded in reasoning_content
# reads as a degenerate model). Vendor sampling (temp 0.1 / top_k 50 / rep_pen 1.1)
# is the LiteLLM alias default, not a launch arg.
- ${LFM25_MODEL}
- --served-model-name
- ${LFM25_SERVED_NAME}
- --host
- 0.0.0.0
- --port
- "8000"
- --gpu-memory-utilization
- ${LFM25_GPU_MEM_UTIL}
- --max-model-len
- ${LFM25_MAX_MODEL_LEN}
- --max-num-seqs
- ${LFM25_MAX_NUM_SEQS}
- --dtype
- auto
- --kv-cache-dtype
- ${LFM25_KV_CACHE_DTYPE}
- --enable-prefix-caching
deploy:
resources:
reservations:
devices:
- driver: nvidia
device_ids:
- "${LFM25_GPU_ID}"
capabilities:
- gpu
healthcheck:
test: ["CMD", "curl", "-f", "http://localhost:8000/health"]
interval: 30s
timeout: 10s
retries: 3
start_period: 300s
networks:
- tnet
labels:
- homepage.group=AI - Inference
- homepage.name=vLLM LFM2.5-2.6B (bake-off)
- homepage.icon=mdi-flask-outline
- homepage.description=LiquidAI LFM2.5-2.6B non-prod bake-off vs granite (ana-ml2)
- homepage.href=http://10.250.50.54:${LFM25_PORT}/docs
networks:
tnet:
name: traefik-net