HF Model & Benchmark Matrix

24,078 variants · 14,984 scores · 120 benchmarks

Qwen3.6-27B-NVFP4

nvidia/Qwen3.6-27B-NVFP4

kind
nvfp4
quant
nvfp4 (4-bit)
family
qwen
modality
text-generation
root model
Qwen/Qwen3.6-27B
provider
nvidia
license
apache-2.0
language
—
context
262K
library
Model Optimizer
vRAM (GB)
—
size on disk
—
downloads
1,915,154
likes
398
created
—
last modified
2026-06-30T14:40:07+00:00 (2026)
huggingface
https://huggingface.co/nvidia/Qwen3.6-27B-NVFP4
tags
Model Optimizersafetensorsqwen3_5nvidiaModelOptQwen3.6quantizedFP4fp4text-generationconversationalbase_model:Qwen/Qwen3.6-27Bbase_model:quantized:Qwen/Qwen3.6-27Blicense:apache-2.08-bitmodeloptregion:us

Benchmark scores (0)

no scores extracted for this variant.

Discussions (20)

titleauthorstatuscommentstype
Has anyone got this same CUDA error: an illegal memory access was encountered while using this model in vllm:v0.25.0?lzacharyopen0disc
Help!!!CUDA driver error: device not readyRnikngclosed0disc
vLLM 0.23.1rc1.dev774+g2b802ad5b.d20260706. . load this model encounter OOM !!xuefeizzzzzzopen0disc
SGLang support?danielusopen0disc
[need help] vllm 0.24.0 on dgx spark warn Your GPU does not have native support for FP4imshenshenopen0disc
doubled TPS NVFP4 vs FP8sSeeMyRolexXxopen0disc
Fallback to marlin kernel give wired/incorrect and sometime gable resultsapjunioropen0disc
this model hallucinates easilybatsclampopen0disc
vLLM + HGX B200: Your GPU does not have native support for FP4 computation but FP4 quantization is being used.cgeliasopen0disc
Works via Ollama, but the ~40 tok/s MTP speedup requires raw llama-server (Ollama has no --spec-type flag) - plus vLLM lockup findings on DGX Sparkdarkmatter2222open0disc
为什么全是!!!!!!!!!jiecongopen0disc
Why does this say 18B?darkmatter2222open0disc
NVFP4 vs FP8 on an RTX PRO 6000 Blackwell (vLLM 0.24): sadly, FP4 is still not faster than FP8 - Qwen3.6‑27Bjanreges3open0disc
CUDA error: an illegal memory access was encountered using vllm(sm120)shakhizatopen0disc
Does it support MTP?sharon8811open0disc
will it work on rtx 5090 32gb vram ?arunsahu44open0disc
nvidia/Qwen3.6-27B-NVFP4 outputs repeated "!" / "d" tokens on Blackwell SM120richguaopen0disc
Could we include BF16 as well as FP8 in the benchmarks please?haydonryanopen0disc
Qwen-AgentWorld-35B-A3B-NVFP4?nagelanpingopen0disc
Approvedjasionkajakubopen0disc
Hugging Face model & benchmark data scraped & matrix-ified. 24,078 variants · 14,984 scores · 120 benchmarks.