unsloth
for llm deployers
Why this scored 0
every term, weightedIts fastest-moving item, measured against the pace of its own source
Whether that velocity is itself speeding up, as a per-hour rate
How many independent communities its own items come from
Decays to zero over 14 days, counted from when we first saw it
Subtracted once something is big and old — sized by its biggest item, aged from when we first saw it
Weights are hand-tuned, not learned — we're calibrating them against realized trends as history accumulates. On an entity'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
high confidence · estimate, not a guarantee7-day
~0
range 0–12
14-day
~0
range 0–14
30-day
~0
range 0–19
Signal history
7-day window (free)projected trajectory (estimate, not a guarantee)
The evidence
The live items this entity's score aggregates — every community independently talking about it right now. This is the corroboration, shown, not claimed.
- 114
DavidAU/Qwen3.8-27B-Cold-Fusion-GAIN-V1.1-NM-DAU-NEO-MAX-MTP-GGUF (image-text-to-text)
New Qwen 3.8-27B checkpoint released for image-text generation in GGUF format. · for ml engineers, research scientists
huggingfaceSteady 2 · qwen3.8-27bai−12 saturated20d ago - 25
unsloth/GLM-5.3-Flash-GGUF (text-generation)
Introduces a fast GGUF text-generation model suitable for low-resource inference. · for ML engineers, AI developers
huggingfaceSteadyai−11 saturated15d ago - 34
unsloth/Qwen3.8-27B-NVFP4
New compressed Qwen 3.8B model format reduces memory for large language model deployment. · for ML engineers
huggingfaceSteadyai−11 saturated27d ago - 40
unsloth/Qwen3.8-27B-GGUF
Community releases GGUF format for Qwen 3.8 27B model. · for llm deployers
huggingfaceSteadyai−22 saturated27d ago - 50
unsloth/Qwen3.8-Flash-Next-GGUF (image-text-to-text)
Unsloth released a GGUF build of Qwen3.8-Flash-Next for image-text-to-text, enabling efficient inference. · for ai developers
huggingfaceSteadyai−18 saturated15d ago