Qwen3.8-Distilled-9B-NPU2
FastFlowLM Q4NX conversion of Qwen3.8-9B-Distill/ for AMD XDNA NPU inference.
This repository contains a quantized Q4NX port of the model, compiled for the FastFlowLM (FLM) runtime. It is not a GGUF file.
| Item | Value |
|---|---|
| Source model | empero-ai/Qwen3.8-9B-Distill |
| Weights | model.q4nx (7.11 GB) |
| Modality | language / vision |
| FLM version | 1.0.1 |
| Converted | 2026-08-26 |
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
uv tool install flm-add
flm-add Atomic-Germ/Qwen3.8-Distilled-9B-NPU2 --family qwen3.5
FLM_CONFIG_PATH="$HOME/.config/flm/model_list.json" FLM_XCLBIN_PATH="$HOME/.config/flm" flm run qwen3.8-distilled:9b
Files
| File | Description |
|---|---|
model.q4nx | Quantized weights (Q8_0 / Q4_1 / BF16) |
config.json | FLM runtime configuration |
tokenizer.json | Tokenizer vocabulary |
tokenizer_config.json | Tokenizer configuration |
chat_template.jinja | Chat template |
vision_weight.q4nx | Vision model |
results/ | FLM-Test results |
Source model card
See the original model card: Qwen3.8-9B-Distill/ on Hugging Face