README.md

---
license: mit
language:
- en
pipeline_tag: text-generation
tags:
- fastflowlm
- q4nx
- npu
- qwen3.6-moe
- 35b-a3b
- ornith
- quantization
base_model:
- ornith-ai/Ornith-1.0-35B
base_model_relation: quantized
quantized_by: Atomic-Germ
---
# *IF YOU USE COMMUNITY QWEN MODELS DO NOT UPGRADE TO FLM v1.0.2+*

# Ornith-1.0-35B - Q4NX for FastFlowLM (AMD Ryzen AI XDNA2)

Ornith-1.0-35B is converted to Q4NX for hardware-accelerated inference with FastFlowLM on AMD Ryzen AI NPUs.

## 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 >= 0.9.46 (`flm` CLI)
- AMD Ryzen AI processor with **XDNA2 (NPU2)** - Strix Point / Ryzen AI 300
  series or later
- Linux with the XRT NPU stack installed
- ~47 GB of unified system memory (Q4NX weights + activations + KV cache)

## Files

| File | Purpose |
|---|---|
| model.q4nx | Quantized Q4NX text weights |
| config.json | FastFlowLM model configuration |
| tokenizer.json | Tokenizer |
| tokenizer_config.json | Special tokens and chat template |
| chat_template.jinja | Chat template |
| README.md | |

## 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
unset FLM_CONFIG_PATH FLM_XCLBIN_PATH && flm-add Atomic-Germ/Ornith-1.0-35B-A3B-NPU2 --tag ornith1.0-moe:35b-a3b --family qwen3.6-moe
FLM_CONFIG_PATH="$HOME/.config/flm/model_list.json" FLM_XCLBIN_PATH="$HOME/.config/flm" flm run ornith1.0-moe:35b-a3b

```

| Context Length |              TTFT (s) |      Prefill Speed (tok/s) |     Decoding Speed (tok/s)
|---|---|---|---|
|             1k |      12.355 ±   0.122 |          79.07 ±      0.78 |       10.41 ±      0.01
|             2k |      16.849 ±   0.142 |         115.41 ±      0.97 |       10.36 ±      0.07
|             4k |      24.852 ±   0.035 |         156.09 ±      0.22 |       10.14 ±      0.10
|             8k |      40.241 ±   0.385 |         192.55 ±      1.84 |        9.74 ±      0.07
|            16k |      73.398 ±   1.227 |         211.03 ±      3.53 |        9.02 ±      0.07
|            32k |     148.780 ±   0.630 |         208.11 ±      0.89 |        7.70 ±      0.03

---

## Kernels

FastFlowLM's NPU kernels (xclbins) are closed source and are not shipped in this repository. This model uses the **`qwen3.6-moe`** engine family and is shape-identical to the official **`qwen3.6-moe:35b-a3b`** model (`Qwen3.6-Moe-35BA3B-NPU2`). Point the runtime's xclbin path at the matching `xclbins` directory (or ship your own) before running.

## Model

- Registry tag: `ornith1.0-moe:35b-a3b`
- Engine family: `qwen3.6-moe`
- Kernel source: official fastflowlm `qwen3.6-moe:35b-a3b`
- Context length: 262,144 tokens (from config)
- Hidden size: 2048
- Layers: 40
- Intermediate size: 512
- Vocabulary: 248320
- `model.q4nx` size: 23.2 GB
- Base model: [ornith-ai/Ornith-1.0-35B](https://huggingface.co/ornith-ai/Ornith-1.0-35B)
- License: other

ChatCompletionChunk: {"id":"chatcmpl-81cc726ee0a82b1bf2703a65","object":"chat.completion.chunk","created":1786483208,"model":"ornith-moe:35b-a3b","system_fingerprint":"fp_7076fd14a68716c5","choices":[{"index":0,"delta":{"content":null},"finish_reason":"stop"}],"usage":{"prompt_tokens":11140,"completion_tokens":330,"total_tokens":11470,"active_kv_tokens":11470,"max_kv_token_capacity":32768,"kv_token_occupancy_rate_percentage":35.003662109375,"load_duration":1.082e-06,"prefill_duration_ttft":74.225606656,"decoding_duration":33.763416,"prefill_speed_tps":150.0829767768493,"decoding_speed_tps":9.773892546891583}}

## 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: [ornith-ai/Ornith-1.0-35B](https://huggingface.co/ornith-ai/Ornith-1.0-35B)