neuron-tai/docs/issues/43-dashboard-model-search-cards.md

US-043 — Dashboard model search and model cards

Status: planned Priority: Medium (post-deploy polish) Stage: Idea

Context

The dashboard shows nodes/routes/billing but nothing model-centric. Operators and testers should be able to search for a model and see, per model, a card with what the network knows about it.

Scope

• Search: query box hitting a new tracker endpoint that proxies the HF Hub search API (server-side, so the dashboard stays CSP-clean and unauthenticated browsers aren't rate-limited) merged with the tracker's own model presets and currently-served models.
• Model card per result:
  • name, architecture, params, layer count (reuse model_metadata_for, which now handles nested text_config — US layer-detection fix)
  • coverage on the network: which layer ranges are served, by how many nodes, coverage gaps (the Coverage Map already exists on the tracker)
  • price per 1K tokens, availability (routable now? single-hop or pipeline?)
  • memory footprint per quantization where known (bf16 / GGUF sizes)
  • action: "request this model" — flags demand so node operators (or auto-shard assignment) know what to load next
• Featured models section driven by the curated catalog (CURATED_MODELS), including GGUF entries once US-042 lands.

Acceptance criteria

• Searching a HF repo id or free text returns results without the browser calling HF directly
• A served model's card shows live coverage and a working "chat now" state
• An unserved model's card shows the "request" action and estimated memory per quant
• python -m pytest passes from repo root