---
base_model: endless-frontier/BigBang-v1
base_model_relation: quantized
quantized_by: Atomic-Germ
language:
- en
library: other
library_name: q4nx
license: apache-2.0
license_link: https://huggingface.co/Qwen/Qwen3.6-35B-A3B/blob/main/LICENSE
tags:
- qwen3.6
- moe
- reasoning
- advanced-reasoning
- multilingual
- fastflowlm
- q4nx
- npu
- qwen3.8-froggeric-v22.4.0
---
# *IF YOU USE COMMUNITY QWEN MODELS DO NOT UPGRADE TO FLM v1.0.2+*

## About

Q4NX for FastFlowLM (AMD Ryzen AI XDNA2) quant of https://huggingface.co/endless-frontier/BigBang-v1

## 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
- XRT NPU stack installed
- >32 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/BigBang1.0-35B-A3B-NPU2 --family qwen3.6-moe --tag bigbang1.0-moe:35b-a3b
FLM_XCLBIN_PATH="$HOME/.config/flm" FLM_CONFIG_PATH="$HOME/.config/flm/model_list.json" flm run bigbang1.0-moe:35b-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: `bigbang1.0-moe:35b-a3b`
- Engine family: `qwen3.6-moe`
- Kernel source: Qwen3.6-35B-A3B-NPU2

## 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: [endless-frontier/BigBang-v1](https://huggingface.co/endless-frontier/BigBang-v1)