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docs(d3): FastFlowLM 1.0.11 -- images, 32,768 tokens, smoke test with an image - #833

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tawei-amd merged 2 commits into
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docs/d3-release-1.0.11
Oct 23, 2026
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tawei-amd merged 2 commits into
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docs/d3-release-1.0.11

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Docs and catalog for d3:lite in FastFlowLM 1.0.11 (images, 32,768-token input; merged in #815, #816, #829).

  • src/model_list.json: d3:lite flm_min_version 1.0.10 → 1.0.11.
  • docs/docs/models/d3.md: "FastFlowLM 1.0.11 or later"; a smoke test with this release's outputs, now including an
    image request (src/tb_files/panda.png; shell and PowerShell).
  • docs/docs/benchmarks/d3_results.md: 1.0.11; image accuracy on the Decision Index public vision suite and latency
    with and without an image up to 32,000 tokens.
  • docs/docs/instructions/server/index.md, cli.md: the --decision launch method, images, the input limit and the
    NPU hardware contexts the decision model takes; docs/models.md: catalog entry.

Every output in the smoke test was taken from main's CI portable build (b263087): flm pull d3:lite (10 files,
0.78 GB, verified), the ready line, /v1/systemone/models, the text request (returns 0.98, 112 ms) and the image request
(panda 0.999, 404 input tokens, 0.42 s). The PowerShell variant was not run.

🤖 Generated with Claude Code

tawei-amd and others added 2 commits October 23, 2026 12:24
- models/d3.md: a four-command smoke test with the outputs a healthy
  install prints (taken from a run of this build).
- instructions/server: `decision` is a model type; a "Decision Model
  (System One)" section with the launch commands, the models endpoint,
  and the NPU sharing caveat.
- instructions/cli: `--decision`, server mode only.
- models catalog page: Decision 3.0 (System One).

Co-Authored-By: Claude <[email protected]>
… an image

- Catalog: d3:lite needs FastFlowLM 1.0.11 (images, 32,768-token input,
  the NPU attention kernel and the vision bitstreams ship with it).
- models/d3.md: 'FastFlowLM 1.0.11 or later'; the smoke test shows this
  release's outputs (ready line with 32768, /v1/systemone/models with
  modalities and image_max_pixels) and adds an image request (panda.png
  from this repo; shell and PowerShell). Outputs from a run of main's CI
  build b263087: panda 0.999, 404 input tokens, 0.42 s.
- benchmarks/d3_results.md: 1.0.11; image accuracy on the Decision Index
  public vision suite (600 questions, 10 benchmarks: NPU 61.7% vs upstream
  BF16 60.2%, +1.50 pt, 95% CI -0.92 ... +3.92) and latency with and
  without an image from 512 to 32,000 input tokens.
- instructions/server, cli: images, the input limit, the NPU hardware
  contexts the decision model takes.

Co-Authored-By: Claude <[email protected]>
@tawei-amd
tawei-amd merged commit e95c9ca into main Oct 23, 2026
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