Smoke dataset
A fixture dataset that exercises the ingestion, validation and freshness machinery.
4 tracked
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Live
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Moved since last reading
Stars from Hugging Face Hub, OpenRouter model catalogue. Movement is measured between two real observations; values that failed validation are withheld rather than shown.
No hiring column here. The job-board classifier extracts framework names, so the join can only speak about frameworks — for these entities we have not measured demand, rather than measured it to be zero.
| Model | Downloads/30d | Likes | Context | In $/M | Modality | Licence | 7-day downloads | Checked |
|---|---|---|---|---|---|---|---|---|
| Qwen2.5 72B InstructAlibaba | 326,043 | 994 | 32,768 | 0.36 | text | qwen | 7-day downloads: 7 readings, 395.7K to 326.0K. | Currentjust now |
Sources: Hugging Face Hub, OpenRouter model catalogue. Every value carries the moment it was observed; figures that failed validation are withheld rather than shown. SLA: current within 24h, ageing to 96h, stale beyond 240h.
noindex,follow · canonical /data/models
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Same engine, same provenance rules — every figure carries the source that reported it and when.
A fixture dataset that exercises the ingestion, validation and freshness machinery.
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Open-source frameworks for building, orchestrating and evaluating LLM agents, tracked across GitHub, npm and PyPI.
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GPUs, accelerators and SoCs for running models locally, with VRAM, memory bandwidth, power draw and list price.
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