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| File | Source | Format |
|---|---|---|
qwen3.6-27b-nvfp4.gguf | NVIDIA NVFP4 | Canonical NVFP4 download; bundled MTP preserved |
qwen3.6-27b-nvfp4_unsloth.gguf | Unsloth NVFP4 | Native NVFP4 FFNs, source FP8 tensors stored as Q8_0, bundled MTP preserved |
DDCE600959ED99C16092EF24E8885AE18FD0D0B8A53EF92976BE1A395194FBD3.mtp.* block is preserved for draft-mtp speculative decoding.ctx=200000, q4_0 target/draft KV, draft-mtp n=2, no-thinking, identical BookContext prompt fixture, and one measured 1024-token completion.| Source | 10k decode tok/s | 200k decode tok/s | VRAM after | Temperature after |
|---|---|---|---|---|
| NVIDIA source GGUF | 69.0 | 42.2 | 30.8 GiB | 52 C / 61 C |
| Unsloth source GGUF | 72.8 | 44.1 | 26.1 GiB | 46 C / 60 C |
decode tok/s is llama.cpp slot print_timing generation throughput after prompt prefill, matching the repository's all-model chart. The Unsloth conversion was about 6% faster at 10k and 5% faster at 200k in this run, while finishing 6 C cooler at 10k and 1 C cooler at 200k.llama-cli -hf neko-legends/Qwen3.6-27B-NVFP4-MTP-GGUF:NVFP4llama-cli -hf neko-legends/Qwen3.6-27B-NVFP4-MTP-GGUF:NVFP4_UNSLOTH1llama-server \
2 --model qwen3.6-27b-nvfp4_unsloth.gguf \
3 --alias qwen36-27b-unsloth-nvfp4-mtp-gguf \
4 --host 0.0.0.0 \
5 --port 39196 \
6 --device CUDA0 \
7 --gpu-layers all \
8 --gpu-layers-draft all \
9 --ctx-size 200000 \
10 --cache-type-k q4_0 \
11 --cache-type-v q4_0 \
12 --cache-type-k-draft q4_0 \
13 --cache-type-v-draft q4_0 \
14 --flash-attn on \
15 --parallel 1 \
16 --cont-batching \
17 --jinja \
18 --reasoning off \
19 --spec-type draft-mtp \
20 --spec-draft-n-max 2 \
21 --spec-draft-p-min 0.0