WIlfLin/JEV-Qwen3.8-27B-NVFP4-Runtime
text-classification model by WIlfLin
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Model card & documentation
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A Jev-style closed-choice runtime over unchanged upstream Qwen3.8-27B mixed NVFP4/FP8 weights. This release includes a compact original BF16 output head and code/configuration; the backbone weights are downloaded from upstream. Not affiliated with TypeSafe Jev. The three upstream safetensors shards (21,921,697,280 bytes) were SHA256-verified against RadixArk/Qwen3.8-27B-NVFP4, revision 52d1adc5f38aa5ebf099c29ed7025ba34cfbb854. There is no LoRA, additional weight training, or fitted temperature. The default runtime now removes the full vocabulary head and uses an 86 x 5120 BF16 linear head. Its weights are exact original BF16 rows, not NVFP4 weights converted back to BF16, from Qwen/Qwen3.8-27B revision 1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0. The NVFP4/FP8 backbone is unchanged. The included small head is sufficient; download the backbone with python downloadweights.py, then run MAXJOBS=3 python serve.py. Set QWEN38LINEARHEAD='' for the historical full-head path. New public result: 194/231 (83.98%), p50 97.72 ms, p95 190.03 ms. The historical full-head result was 192/231; the preliminary dequantized head got 190/231 and is superseded. These are…
Read the full model card ↗ · Preview checked 2026-11-03T22:31:19.517Z
Inside the original model card — Document outline
- JEV-Qwen3.8-27B-NVFP4 Runtime
- Original BF16 linear update (2026-09-22)
- Exact evaluated configuration
- Historical full-head public JevBench self-test
- Run
- Reproduce the benchmark
- Attribution
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Model overview
WIlfLin/JEV-Qwen3.8-27B-NVFP4-Runtime is a text-classification model repository published by WIlfLin on Hugging Face. A library was not reported.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-classification
- Library
- Not reported
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-09-22T06:25:03.000Z
- Last modified
- 2026-09-22T06:25:03.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: RadixArk/Qwen3.8-27B-NVFP4
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-09-22T06:37:17.952Z. Daily imports are snapshots, not real-time monitoring.
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