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kyaky/Qwen3.8-27B-NVFP4
Qwen3.8-27B-NVFP4 is a image-text-to-text model from kyaky. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
A competitive, efficient NVFP4 build that matches or leads the alternative build across the measured benchmarks, stays measurably closer to the original BF16 model, and delivers faster single-stream generation on the…
Downloads · 30 days
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How the weights are stored.
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From the Hugging Face model README
A competitive, efficient NVFP4 build that matches or leads the alternative build across the measured benchmarks, stays measurably closer to the original BF16 model, and delivers faster single-stream generation on the tested hardware.
unsloth/Qwen3.8-27B-NVFP4 across CMMLU, C-Eval, and non-thinking MMLU-Pro, with MMLU-Pro essentially at parity.| Metric | BF16 baseline | kyaky/Qwen3.8-27B-NVFP4 | unsloth/Qwen3.8-27B-NVFP4 | Result |
|---|---|---|---|---|
| CMMLU accuracy ↑ | 72.03 | 73.55 | 70.76 | +2.80 pp vs competitor |
| C-Eval accuracy ↑ | 74.07 | 75.93 | 73.63 | +2.30 pp vs competitor |
| MMLU-Pro accuracy ↑, non-thinking | 75.43 | 77.14 | 76.57 | Essentially at parity with competitor |
| KL divergence vs BF16 ↓ | 0 (reference) | 0.0265 | 0.0391 | About 32% lower than competitor |
| Download size ↓ | — | 23.29 GB | 23.4 GB | 0.11 GB smaller |
All comparisons use the same evaluation conditions. Small differences from the BF16 reference should be treated as evaluation variation, not as evidence that this build surpasses the base model's capabilities.
Measured on 1 × NVIDIA RTX PRO 6000 (Blackwell) using vLLM 0.25.1 with greedy decoding and an FP8 KV cache at 8K context. Workload: 256-token generations; single-stream is the mean of 3 runs, concurrent is 32 simultaneous requests. Values are tokens/second and apply only to this tested configuration; they should not be assumed to generalize to other hardware or serving setups.
| Metric | BF16 original | kyaky/Qwen3.8-27B-NVFP4 | unsloth/Qwen3.8-27B-NVFP4 | Result |
|---|---|---|---|---|
| Single-stream generation speed (tokens/s) ↑ | 27.4 | 61.2 | 58.5 | +4.6% vs competitor; about 2.2× BF16 |
| Aggregate throughput at 32 concurrent requests (tokens/s) ↑ | 648 | 1284 | 1292 | Near-parity at this concurrency; both roughly 2× BF16; higher concurrency tends to favor the competing build's FP4 kernel path |
vllm serve kyaky/Qwen3.8-27B-NVFP4 --trust-remote-code
NVFP4 requires an NVIDIA Blackwell GPU, such as an RTX 50-series or RTX PRO 6000-class GPU, and is served through vLLM.
Choose this release for a well-rounded 23.29 GB NVFP4 build with competitive benchmark retention, closer measured BF16 fidelity, and strong serving performance on the tested Blackwell configuration. It leads the competing build on CMMLU and C-Eval, remains essentially at parity on non-thinking MMLU-Pro, is faster in single-stream generation, and provides near-parity aggregate throughput at 32 concurrent requests.
kyaky/Qwen3.8-27B-NVFP4 is an independent NVFP4 release derived from Qwen/Qwen3.8-27B. Review the base model card for capabilities, acceptable use, and license terms.