monthly · 30d window · Hugging Face model
All hugging face models & datasets editions →QUASAR-QAT/Qwen3.8-27B-QUASAR-NVFP4
QUASAR-QAT/Qwen3.8-27B-QUASAR-NVFP4 is a 4-bit NVFP4 quantized version of Qwen/Qwen3.8-27B, produced with QUASAR, a quantization-aware training method. The NVFP4 weights are trained directly against the frozen BF16 model and exported as standard NVFP4 weights with no custom inference path, covering all 496 transformer linears including attention and gated delta-net. It runs with vLLM and requires an NVIDIA GPU with FP4 support.
- Appearances
- 2
- Categories
- 2
- First seen
- 1 October 2026
- Latest
- 1 October 2026
Recorded measurements
Published observations only. Missing dates are not zero, and points do not establish what happened between observations. Each source and unit is shown separately.
Hugging Face model · downloads
Hugging Face models & datasets · 2 dated measurements
Rolling download counts, not lifetime totals or downloads gained between these dates.
Latest value shown: 24,813 downloads ·
Higher values appear higher on the chart. The scale covers the recorded values.
View 2 exact dated values and published evidence
| Measured on | Value (downloads) | Published in |
|---|---|---|
| 5,516 | ||
| 24,813 |
“Measured on” uses the original observation date. “Published in” links to the edition that reported it; the dates may differ.
Appearance history
2 appearancesIf you investigated this riser, tell us what helped—or what was missing.
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