# lfm-vl-seat

**LiquidAI LFM2.5-VL-3B**, a small vision-language model, on **nh3-ml1**, served
by llama.cpp (`ghcr.io/ggml-org/llama.cpp` server-cuda, build b11176, pinned by
digest) on `:8030`. A utility seat for brokkr's dataset foundry (image
understanding). Operator-approved 2026-09-26, relayed by brokkr-smithy-dev.

| | |
|---|---|
| direct | `http://10.100.50.80:8030/v1/chat/completions`, model `lfm25-vl-3b` |
| gateway | `lfm25-vl-3b` (ana-docker:4000, `hosted_vllm/`, `supports_vision`) |
| files | `LFM2.5-VL-3B-Q5_K_M.gguf` + **`mmproj-LFM2.5-VL-3B-Q8_0.gguf` (required for images)** from `LiquidAI/LFM2.5-VL-3B-GGUF` @ `6f730e9a2c45` |
| VRAM | ~2.9 GB (2 slots × 8k ctx) |

**Checks, 2026-09-26.**
- Positive control: a synthetic image (red square, blue circle, the text
  "NH3 42") was described exactly at T=0, both direct and through the gateway.
- Speed: prefill ~800 tok/s, decode ~92 tok/s.
- ⚠ **Null control: with no image attached it confidently describes one anyway**
  ("a solid black background"). Callers must make sure the image actually went in.

Not wired yet: `LiquidAI/LFM2.5-VL-3B-DSpark-GGUF`, a speculative-decoding
drafter (brokkr's "optional later").