Ornith-1.5-9B-NPU2
FastFlowLM Q4NX conversion of ornith-ai/Ornith-1.5-9B for AMD XDNA NPU inference.
Ornith-1.5 extends the self-scaffolding framework introduced in Ornith-1.0 into a more complete self-improvement loop:
The model proposes new tasks, generates task-specific scaffolds, and produces solution rollouts for reinforcement learning, continuously creating new learning experiences from which it can improve.
Ornith-1.5 9B is the direct successor of Ornith-1.0 9B, which achieves state-of-the-art performance among open-source models of comparable size across a broad range of agentic coding benchmarks.
It brings improved instruction following & improved thinking/reasoning, among other benefits.
Highly Recommended: Always keep reasoning/thinking enabled.
Ornith thoroughly plans and reasons through code edits before execution, ensuring an efficient and clean output.
Unlike baseline Qwen models, which frequently execute blindly and backtrack after generating broken code.
To learn more about Ornith 1.5, read their blog post.
To learn more about how to use Ornith 1.5 9B, view the base model.
A larger variant is also available: Ornith-1.5-35B-A3B
** Doesn't handle parallel tool calls well **
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 | ornith-ai/Ornith-1.5-9B |
| Source GGUF | Ornith-1.5-9B-MXFP4_Q8_0-Imatrix.gguf |
| Weights | model.q4nx (7.11 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
uv tool install flm-add
flm-add Atomic-Germ/Ornith-1.5-9B-NPU2 --family qwen3.5 --tag ornith1.5:9b
FLM_CONFIG_PATH="$HOME/.config/flm/model_list.json" FLM_XCLBIN_PATH="$HOME/.config/flm" flm run ornith1.5:9b
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: ornith-ai/Ornith-1.5-9B
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ornith-ai/Ornith-1.5-9B