flm-models-XDNA2
Collection
Models built for AMD XDNA2 NPUs, runnable with FastFlowLM. • 43 items • Updated • 1
vllm-sr/d3-lite v3.1.3 (Decision 3.0, the decision model of vLLM Semantic
Router) for AMD Ryzen AI NPUs, served by FastFlowLM 1.0.10+.
It answers System One requests -- choice, yes / no and score questions about a state, with a probability for every
option -- over the same POST /v1/systemone API as the upstream package.
flm serve --decision d3:lite # optionally next to a chat model: flm serve qwen3.5:4b --decision d3:lite
curl -s http://127.0.0.1:52625/v1/systemone -H "Content-Type: application/json" \
-d '{"state": "The order arrived damaged.", "questions": {"route": {"type": "choice",
"criteria": {"returns": "Refunds and replacements", "billing": "Payments", "general": null}}}}'
vision_weight.q4nx holds
the vision tower for a later FastFlowLM release; FastFlowLM 1.0.10 answers text requests.readout.safetensors, decision_config.json, tokenizer.json, tokenizer_config.json,
chat_template.jinja and LICENSE are the upstream files byte for byte (MANIFEST.sha256).| this package on the NPU | upstream BF16 | |
|---|---|---|
| Decision Index public-suite subset, gold accuracy (6,824 questions, 35 benchmarks) | 60.6% | 61.2% |
| Top-1 agreement with BF16 on the same questions | 90.5% | -- |
Paired gold accuracy, upstream BF16 minus this package: +0.59 pt (95% CI [-0.00, +1.18] pt).
| request | median latency |
|---|---|
| 1 question, 128 tokens | 112 ms |
| 1 question, 330 tokens | 159 ms |
| 1 question, 1,024 tokens | 518 ms |
| 1 question, 4,096 tokens | 3652 ms |
| 4 questions, 330 tokens each | 574 ms |
| 16 questions, 330 tokens each | 2198 ms |
Prompts over 4,096 tokens are answered with max_length_exceeded (nothing is truncated).
Apache-2.0, as the upstream model; see LICENSE and NOTICE.