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Atomic-Germ/Qwen3.6-35B-A3B-NPU2

sourceHugging Faceapache-2.0updated 1mo agoView on Hugging Face
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Model Card

IF YOU USE COMMUNITY QWEN MODELS DO NOT UPGRADE TO FLM v1.0.2+

Qwen3.6-35B-A3B - Q4NX for FastFlowLM (AMD Ryzen AI XDNA2)

Qwen3.6-35B-A3B, an MoE model, converted to Q4NX for FastFlowLM. This variant ships vision Q4NX weights alongside the text weights.

What is Q4NX?

Q4NX is FastFlowLM's native packed-quantization format - a rearranged Q4_1 layout tuned for the NPU matrix engine's tile sizes and memory access patterns. It is not a GGUF file and it does not run on llama.cpp or Ollama; it is meant exclusively for the FastFlowLM engine on AMD Ryzen AI NPUs.

Requirements

  • —FastFlowLM >= 0.9.45 (flm CLI)
  • —AMD Ryzen AI processor with XDNA2 (NPU2) - Strix Point / Ryzen AI 300 series or later
  • —Linux with the XRT NPU stack installed
  • —~51 GB of unified system memory (Q4NX weights + activations + KV cache)

Files

FilePurpose
model.q4nxQuantized Q4NX weights
config.jsonFastFlowLM model configuration
tokenizer.jsonTokenizer
tokenizer_config.jsonSpecial tokens and chat template
chat_template.jinjaChat template (optional)
vision_weight.q4nxVision tower weights (multimodal input)
flm-add.pyInstaller script - registers this model with FastFlowLM

Install and run

This repository works with flm-add, a small installer that copies the model into the FastFlowLM user directory and registers the tag. It never modifies the system FastFlowLM install.

pip install flm-add or uv tool install flm-add

bash
uv tool install flm-add
flm-add Atomic-Germ/Qwen3.6-35B-A3B-NPU2 --tag qwen3.6-a3b:35b
FLM_CONFIG_PATH="$HOME/.config/flm/model_list.json" FLM_XCLBIN_PATH="$HOME/.config/flm" flm run qwen3.6-a3b:35b

Kernels

FastFlowLM's NPU kernels (xclbins) are closed source and are not shipped in this repository. flm-add.py links the kernels of the official `qwen3.6-moe:35b-a3b` model (Qwen3.6-35B-A3B-NPU2), because this model shares the same engine family (qwen3.6-moe) and architecture.

Model

  • —Registry tag: qwen3.6-a3b:35b
  • —Engine family: qwen3.6-moe
  • —Kernel source: Qwen3.6-35B-A3B-NPU2
  • —Context length: 262,144 tokens (from config)
  • —model.q4nx size: 23.24 GB
  • —Base model: Qwen/Qwen3.6-35B-A3B
  • —License: apache-2.0

Original model card

See the upstream model card for training details, benchmarks, and upstream usage. This repository only contains the Q4NX conversion for FastFlowLM.