Sybil AI
‹ RTX PRO 6000 Blackwell

LFM2.5-2.6B

· sglang · 128K context · RTX PRO 6000 Blackwell · 96 GB

Liquid AI's 2.6B hybrid model: tiny and fast, built for on-device work.

– tok/sdecode
– tok/sprefill
128Kcontext window
Earlier checkearlier
Run it

Follow the steps below to download and run this recipe. Omarchy Local AI lists the recipes it can launch on your hardware. The server then answers on http://localhost:8000/v1.

  1. 1 Download the weights
    hf download LiquidAI/LFM2.5-2.6B \
      --revision a334ee78cd38458bb71eda24109ac42dcec1309d
  2. 2 Start the server
    docker run --rm \
      --gpus all \
      -p 8000:30000 \
      --shm-size 16g \
      -e HF_HOME=/root/.cache/huggingface \
      -v ~/.cache/huggingface:/root/.cache/huggingface \
      --entrypoint /opt/sglang/bin/python \
      lmsysorg/sglang:dev-cu13@sha256:6cd4635214f279e0a43019f88e3120d407567640a58aa7dcc0085e3d91402cc4 \
      -m sglang.launch_server \
      --model-path LiquidAI/LFM2.5-2.6B \
      --revision a334ee78cd38458bb71eda24109ac42dcec1309d \
      --tp 1 \
      --host 0.0.0.0 \
      --port 30000 \
      --context-length 131072 \
      --mem-fraction-static 0.94 \
      --attention-backend flashinfer \
      --kv-cache-dtype fp8_e4m3 \
      --max-running-requests 4 \
      --cuda-graph-max-bs-decode 4 \
      --enable-cache-report \
      --trust-remote-code \
      --reasoning-parser qwen3-thinking \
      --tool-call-parser lfm2
What it passed
✓ loadLoads and serves within an hour
✓ chatAnswers a plain question and stops on its own
– reasoningThinks separately and gets 17 × 23 right
– toolsCalls a tool with the right arguments and uses the result
– contextRecalls a code buried in a prompt that fills 85% of the window
– speedDecodes at 15 tok/s or more

Passed the older check (loads and chats); a full six-check run is pending.

Details
Weights
LiquidAI/LFM2.5-2.6B @ a334ee78cd ›
Image
lmsysorg/sglang:dev-cu13@sha256:6cd4635214f279e0a43019f88e3120d407567640a58aa7dcc0085e3d91402cc4
Launch
sglang-lfm2.5-2.6b-bf16-128k-v9 ›
Recipe file
registry/recipes/nvidia/rtx-pro-6000-blackwell-96gb/lfm2.5-2.6b.sglang.128k.json ›
Model released
Jul 28, 2026
Tested
earlier acceptance