empero-ai/Qwen3.8-27B-Ridge-GGUF (image-text-to-text)
Quantized Qwen 3.8B model in GGUF format speeds up image-text inference.
Steady21
signal score
as of 2d ago
🔗 3
sources · qwen3.8-27b
↑ Accelerating
7-day est. ~28
Why this scored 21
every term, weightedEngagement gained per hour since the last capture, against the fastest item on its own source
Whether that velocity is itself speeding up, as a per-hour rate
How many independent communities are talking about the same entity
Decays to zero over 14 days
Subtracted once something is big and old — we rank what's next, not what's peaked
Weights are hand-tuned, not learned — we're calibrating them against realized trends as history accumulates. On a topic's first sighting there's no previous reading to compare against, so acceleration starts from a neutral prior rather than a measurement, and velocity falls back to engagement over its whole lifetime until a second reading exists. Full methodology
Outlook
medium confidence · estimate, not a guarantee7-day
~28
range 16–40
14-day
~30
range 15–44
30-day
~31
range 12–50
Signal history
7-day window (free)— — projected trajectory (estimate, not a guarantee)
Entities
Embed a live signal badge
[](https://www.signalcrest.app/topic/hf%3Amodel%3Aempero-ai%2FQwen3.8-27B-Ridge-GGUF)
Drop this in a README or blog post — it updates automatically as the score moves.