neko-legends/Qwen3.6-35B-A3B-NVFP4-MTP-GGUF overview
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Runs locally from ~21.33 GB disk (24 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
Model Details
| Model ID | neko-legends/Qwen3.6-35B-A3B-NVFP4-MTP-GGUF |
|---|---|
| Author | neko-legends |
| Pipeline | text-generation |
| License | apache-2.0 |
| Base model | unsloth/Qwen3.6-35B-A3B-NVFP4-Fast,unsloth/Qwen3.6-35B-A3B-NVFP4,nvidia/Qwen3.6-35B-A3B-NVFP4 |
| Last modified | 2026-07-19T19:10:41.000Z |
Model README
---
license: apache-2.0
base_model:
- unsloth/Qwen3.6-35B-A3B-NVFP4-Fast
- unsloth/Qwen3.6-35B-A3B-NVFP4
- nvidia/Qwen3.6-35B-A3B-NVFP4
base_model_relation: quantized
library_name: llama.cpp
pipeline_tag: text-generation
tags:
- gguf
- llama.cpp
- nvfp4
- fp8
- mtp
- speculative-decoding
- qwen3.6
- qwen35moe
- blackwell
- rtx-5090
- windows
- unsloth
- fast
---
<div style="font-family: Inter, ui-sans-serif, system-ui, sans-serif; border: 1px solid #3a2a1f; background: #0f0f13; border-radius: 16px; overflow: hidden; margin: 0 0 28px 0;">
<div style="padding: 14px 18px; background: linear-gradient(90deg, #1a120d 0%, #2b1708 100%); border-bottom: 1px solid rgba(255,122,26,0.35); color: #ffd7ad; font-weight: 900;">RTX 5090 Windows native GGUF comparison - updated July 19, 2026</div>
<img src="https://huggingface.co/neko-legends/Qwen3.6-35B-A3B-NVFP4-MTP-GGUF/resolve/main/rtx-5090-qwen35-moe-vs-qwopus.png" alt="RTX 5090 native llama.cpp long-context model comparison including Unsloth NVFP4 Fast" style="display:block; width:100%; border:0;" />
</div>
Qwen3.6 35B A3B NVFP4 MTP GGUFs
Native llama.cpp conversions of NVIDIA and Unsloth Qwen3.6 35B A3B NVFP4
checkpoints with their bundled MTP blocks preserved. The newest artifact comes
from unsloth/Qwen3.6-35B-A3B-NVFP4-Fast.
Files
| File | Source | Layout | Size |
| --- | --- | --- | ---: |
| qwen3.6-35b-a3b-unsloth-nvfp4-fast-mtp-gguf.gguf | Unsloth NVFP4 Fast | All expert layers native NVFP4, bundled MTP | 21.33 GiB |
| qwen3.6-35b-a3b-unsloth-nvfp4-mtp-gguf.gguf | Unsloth NVFP4 | Native NVFP4 expert FFNs, source FP8 tensors stored as Q8_0, bundled MTP | 24.34 GiB |
| qwen3.6-35b-a3b-nvfp4-mtp.gguf | NVIDIA NVFP4 | Native NVFP4 with bundled MTP | 22.21 GiB |
Fast GGUF SHA256:
ABE31A8082E44E5C03D0F08595715584AEADEA8C2A76C6F9F066A4ECBA64E78A.
The Fast source stores every expert layer as NVFP4. The earlier Unsloth source
uses a mixed compressed-tensors layout; its conversion keeps packed NVFP4
expert tensors native and stores source FP8 weights as Q8_0. Both expose their
MTP layer to recent llama.cpp builds through draft-mtp.
RTX 5090 Result
Windows 11, RTX 5090, 200k context, q4_0 target/draft KV, `draft-mtp
n=2`, no-thinking, identical BookContext fixtures, and one measured 1,024-token
completion per point. These are llama.cpp decode-only rates after the separately
reported prompt prefill.
| GGUF | Runtime | 10k decode | 10k prefill | 200k decode | 200k prefill | VRAM after |
| --- | --- | ---: | ---: | ---: | ---: | ---: |
| Unsloth Fast | b10068 | 135.23 tok/s | 2.16s | 84.08 tok/s | 52.84s | 25,138 MiB |
| Unsloth mixed | b9851 | 151.16 tok/s | 2.37s | 93.20 tok/s | 50.41s | 26.7 GiB |
| NVIDIA source | b9851 | 150.94 tok/s | 2.39s | 90.24 tok/s | 51.35s | 24.6 GiB |
The Fast artifact is about 3.0 GiB smaller than the earlier mixed Unsloth
conversion and leaves roughly 7 GiB free with the tested 200k server. However,
Unsloth's upstream Fast claim is based on vLLM concurrency throughput. That
advantage did not transfer to this native Windows llama.cpp, single-request
test: the earlier mixed conversion remains faster at both prompt lengths.
Benchmark CSV: benchmarks/qwen36-35b-a3b-unsloth-nvfp4-fast-mtp-gguf-benchmark-20260719.csv.
Quick Start - Fast
llama-server \
--model qwen3.6-35b-a3b-unsloth-nvfp4-fast-mtp-gguf.gguf \
--alias qwen36-35b-a3b-unsloth-nvfp4-fast-mtp-gguf \
--host 0.0.0.0 \
--port 39202 \
--device CUDA0 \
--gpu-layers all \
--gpu-layers-draft all \
--ctx-size 200000 \
--cache-type-k q4_0 \
--cache-type-v q4_0 \
--cache-type-k-draft q4_0 \
--cache-type-v-draft q4_0 \
--flash-attn on \
--parallel 1 \
--cont-batching \
--jinja \
--reasoning off \
--spec-type draft-mtp \
--spec-draft-n-max 2 \
--spec-draft-p-min 0.0
Companion Scripts
Portable Windows source download, conversion, official llama.cpp b10068 runtime
installation, Hermes setup, launcher, and benchmark scripts are in
neko-legends/nvidia-local-llm-profiles.
Models are stored relative to the checkout parent rather than in a machine-specific
drive path.
Apache 2.0, inherited from the source releases.
Run neko-legends/Qwen3.6-35B-A3B-NVFP4-MTP-GGUF with guIDE
Download guIDE — the AI-native code editor with local LLM inference and 69 built-in tools.
Source: Hugging Face · Compare models