FULLY WORKING

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 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 (optional)
README.md
flm-add.py	Installer script - registers this model with FastFlowLM

Install and run

This repository ships flm-add.py, a small installer that copies the model into the FastFlowLM user directory and registers the tag qwen3.6-moe:35b-a3b. It never modifies the system FastFlowLM install.

# one-time environment (add these to ~/.bashrc)
export FLM_CONFIG_PATH="$HOME/.config/flm/model_list.json"
export FLM_XCLBIN_PATH="$HOME/.config/flm"
python3 ./flm-add.py Atomic-Germ/Ornith-1.0-35B-A3B-NPU2 --tag ornith1.0-moe:35b-a3b --family qwen3.6-moe

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.

Serve (OpenAI-compatible)

flm serve ornith1.0-moe:35b-a3b --port 8080

curl http://127.0.0.1:8080/v1/chat/completions \
  -H 'Content-Type: application/json' \
  -d '{"model":"ornith1.0-moe:35b-a3b","messages":[{"role":"user","content":"Hello!"}],"max_tokens":256}'

Model

Registry tag: ornith1.0-moe:35b-a3b
Engine family: qwen3.6-moe
Kernel source: official qwen3.6-moe:35b-a3b (Qwen3.6-Moe-35BA3B-NPU2)
Context length: 262,144 tokens (from config)
Hidden size: 2048
Layers: 40
Intermediate size: 512
Vocabulary: 248320
model.q4nx size: 21.64 GB
Base model: 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}}