---
base_model:
- Convence/Aroow-Rust-Coder-9B
base_model_relation: quantized
quantized_by: Atomic-Germ
language:
  - en
library_name: q4nx
tags:
  - rust
  - code
  - code-generation
  - code-completion
  - fill-in-the-middle
  - reasoning
  - function-calling
  - vision
  - qwen3.8-froggeric-v22.4
  - npu2
  - fastflowlm
  - flm
  - q4nx
  - v1.0.1
  - qwen3.5
---
# Aroow-Rust-Coder-9B-NPU2

**FastFlowLM Q4NX conversion of `Convence/Aroow-Rust-Coder-9B`** 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 | `Convence/Aroow-Rust-Coder-9B` |
| Weights | `model.q4nx` (7.11 GB) |
| Modality | language / vision |
| FLM version | `1.0.1` |
| Converted | 2026-08-28 |

## 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/Aroow-Rust-Coder-9B-NPU2 --family qwen3.5
FLM_CONFIG_PATH="$HOME/.config/flm/model_list.json" FLM_XCLBIN_PATH="$HOME/.config/flm" flm run aroow-rust-coder: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 |


---

## Source model card

See the original model card: `Convence/Aroow-Rust-Coder-9B` on Hugging Face