Modelpublic

Atomic-Germ/Qwen3.8-Distilled-2B-NPU2

sourceHugging Faceapache-2.0updated 7d agoView on Hugging Face

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Model Card

Qwen3.8-2B-Distill-NPU2

FastFlowLM Q4NX conversion of [`empero-ai/Qwen3.8-2B-Distill`](https://huggingface.co/empero-ai/Qwen3.8-2B-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/Qwen3.8-2B-Distill`
Source GGUF	`Qwen3.8-2B-Q8_0.gguf`
Weights	`model.q4nx` (2.32 GB)
Modality	language / vision
FLM version	`1.0.1`
Converted	2026-08-24

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/Qwen3.8-2B-Distill-NPU2 --family qwen3.5 --tag qwen3.8-distill:2b
FLM_CONFIG_PATH="$HOME/.config/flm/model_list.json" FLM_XCLBIN_PATH="$HOME/.config/flm" flm run qwen3.8-distill:2b

Files

File	Description
`model.q4nx`	Quantized weights (Q80 / Q41 / 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

Source model card

See the original model card: empero-ai/Qwen3.8-2B-Distill