---
license: apache-2.0
language:
- en
pipeline_tag: image-text-to-text
tags:
- darwin
- qwen3.6
- moe
- reasoning
- advanced-reasoning
- multilingual
- fastflowlm
- q4nx
- npu
base_model:
- FINAL-Bench/Darwin-36B-Opus
base_model_relation: quantized
quantized_by: Atomic-Germ
---

# Darwin-36B-Opus - Q4NX for FastFlowLM (AMD Ryzen AI XDNA2)

Darwin-36B-Opus is an evolutionary-merged Mixture-of-Experts model (based on the Qwen3.6-35B-A3B architecture) specialized for deep reasoning. This repository contains the Q4NX conversion for hardware-accelerated inference with FastFlowLM.

## 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](https://fastflowlm.com)
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

| File | Purpose |
|---|---|
| model.q4nx  | Quantized Q4NX weights |
| config.json  | FastFlowLM model configuration |
| tokenizer.json  | Tokenizer |
| tokenizer_config.json  | Special tokens and chat template |
| chat_template.jinja  | Chat template (optional) |
| flm-add.py  | Installer 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/Darwin-36B-Opus-NPU2 --tag darwin-opus-moe:36b-a3b --family qwen3.6-moe
FLM_CONFIG_PATH="$HOME/.config/flm/model_list.json" FLM_XCLBIN_PATH="$HOME/.config/flm" flm run darwin-opus-moe:36b-a3b
```


## 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: `darwin-opus:36b`
- 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: [FINAL-Bench/Darwin-36B-Opus](https://huggingface.co/FINAL-Bench/Darwin-36B-Opus)
- 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.
- Upstream card: [FINAL-Bench/Darwin-36B-Opus](https://huggingface.co/FINAL-Bench/Darwin-36B-Opus)