Model field now pulls /v1/models (the ↻ control; new gateway models just appear)
instead of a hardcoded stale list; 📎 attaches an image (base64 data: URL in
image_url content) so the multimodal models (Qwopus, image-judge) can be smoked.
Static-verified (JS syntax + element-id consistency); headless smoke was blocked
by a shared-browser version skew in /opt/ms-playwright, not a tool defect.
Quantize a HF-format Mistral Small 4 (Mistral3ForConditionalGeneration MoE) to
NVFP4 with the vision tower intact, then convert HF NVFP4 -> Mistral native so
vLLM can serve it (there is no HF Mistral4 serving path in any vLLM version).
Built + validated end-to-end on ana-ml2 for the abliterated character-model
successor (darkc0de/Mistral-Small-4-119B-2603-heretic): quant -> dry-run (clean
vs the official native NVFP4 reference) -> convert -> serve-test (loads on the
native loader, correct text, vision functional).
Converter scaffold came from worldtree-codex (bf16 bin maps + fused-expert
split); fixed here: NVFP4 layer regexes (keep the `model.` prefix) + non-mmap
shard reads (ZFS large-mmap ENOMEM). nvfp4_quant.py is local. README documents
the pipeline + every gotcha that cost a failed run. Homed here per operator
direction (not Worldtree).
Zero-dependency, zero-backend HTML chat UI for the LiteLLM gateway. The
browser talks straight to :4000 (gateway CORS is open), so it's just one
file you open — no container, no stack. System-prompt textarea, model
datalist, streaming SSE, renders reasoning_content for the -thinking/
-reasoning models, settings persist in localStorage.
Deliberately never sends a `tools` field, sidestepping the vLLM "tools
must not be an empty array" bug that breaks the LiteLLM admin UI
playground for vLLM-backed models (litellm #6228; the gateway's
strip_empty_tools hook can't reach the UI's in-process completion call).
Verified against the live gateway: streams + parses a real completion
with no tools sent.
vh