• minilm-l6-v2-quint8-avx2-r1 b0d88800d0

    all-MiniLM-L6-v2 quint8 AVX2 (intent classifier) r1
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    Stable

    Max released this 2026-09-29 13:17:16 +02:00 | 0 commits to main since this release

    all-MiniLM-L6-v2 (intent classifier embedding model)

    • Source: https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2 (files onnx/model_quint8_avx2.onnx, vocab.txt)
    • License: Apache License 2.0 (see LICENSE-Apache-2.0.txt). Copyright the sentence-transformers authors / respective contributors.
    • Use: sentence embeddings for Race Engineer's local voice-intent classifier (CPU, ONNX Runtime 1.23.2).
    • Unmodified upstream files; renamed only.
    • SHA-256:
      • all-MiniLM-L6-v2-quint8-avx2.onnx b941bf19f1f1283680f449fa6a7336bb5600bdcd5f84d10ddc5cd72218a0fd21
      • all-MiniLM-L6-v2-vocab.txt 07eced375cec144d27c900241f3e339478dec958f92fddbc551f295c992038a3
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  • pocket-tts-v3.1.0-r2 5497407bee

    Pocket TTS 3.1.0 TeamManager R2 Windows CPU runtime and English defaults
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    Pre-release

    Max released this 2026-09-16 04:21:41 +02:00 | 6 commits to main since this release

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  • pocket-tts-v3.1.0-r1 5497407bee

    Pocket TTS 3.1.0 TeamManager R1 Windows CPU runtime and English defaults
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    Pre-release

    Max released this 2026-09-16 04:07:49 +02:00 | 6 commits to main since this release

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  • moonshine-v0.1.5 809c74dba7

    Moonshine v0.1.5 streaming models (Alpha 31)
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    Stable

    Max released this 2026-09-14 16:32:22 +02:00 | 13 commits to main since this release

    Immutable Alpha 31 Moonshine English streaming model packages.

    Source: moonshine-ai/moonshine v0.1.5 (commit 234f60faa0eb388b01cdf7e60aca232af37aefda),
    catalog quantized_26_08_21, packaged by
    scripts/package-moonshine-models.py in this repository.

    Asset Bytes SHA-256
    moonshine-tiny-streaming-en-quantized_26_08_21-r1.zip 36624898 41e1882d3ddc7c8a70778224879c929f9b4d87f77c57e9f031757bb27751e3c5
    moonshine-small-streaming-en-quantized_26_08_21-r1.zip 121672393 ce697ac0dcf1b5b949b4ba1beba4dd19e2c2042c335e26e620ff28706ef8de00
    moonshine-medium-streaming-en-quantized_26_08_21-r1.zip 236904989 d22e9adbb0232db4fcc2d5594d0155965efd47222fccd59cda38dd84f0e07305

    Each archive contains exactly the eight upstream files at the root. MIT
    licensed; see LICENSES/moonshine-MIT.txt. These are optional post-install
    downloads, never bundled in the installer.

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  • natural-radio-qwen3-0.6b-dev.2 526dba1b23

    TeamManager Natural Radio Qwen3 0.6B dev.2 (license companion)
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    Pre-release

    Max released this 2026-08-24 17:27:01 +02:00 | 22 commits to main since this release

    License-only companion for natural-radio-qwen3-0.6b-dev.1.

    This immutable prerelease adds the notices required when distributing the existing hash-verified Natural Radio assets. It does not replace, republish, or change the dev.1 GGUF, Windows runtime ZIP, executable, model manifest, or runtime authority.

    Included asset:

    • natural-radio-license-notices-dev.2.zip — 10,208 bytes, SHA-256 1a10d3031ac70b0f6bac3de387091fc8394ec1a0939053e0db598459c6fde2e7

    The ZIP contains only the Qwen3 Apache 2.0, llama.cpp MIT, and LLVM 20.1.8 Apache-2.0-with-LLVM-exception notices. Race Engineer remains responsible for pinning approved build inputs and packaging applicable notices offline; it does not fetch this release at runtime.

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  • natural-radio-qwen3-0.6b-dev.1 3dae8404dd

    TeamManager Natural Radio Qwen3 0.6B dev.1
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    Pre-release

    Max released this 2026-08-16 15:47:35 +02:00 | 33 commits to main since this release

    Complete TeamManager Natural Radio model pack, development pre-release.

    Assets:

    • natural-radio-runtime.zip: Windows x64 CPU llama.cpp runtime with Release/llama-server.exe
    • race-engineer-qwen3-0.6b-q4_k_m.gguf: primary trained Q4_K_M model
    • qwen3-0.6b.Q5_K_M.gguf, IQ4_XS, IQ2_M: additional trained quantizations
    • race-engineer-qwen3-0.6b-provenance.zip: adapter, tokenizer, chat template, and provenance
    • JSON manifests and SHA-256 receipts

    Primary model bytes: 396705632
    Primary model SHA-256: 3a627f406fff3e6e1c5fe2d6104f28ef760a6599b4cab31c4bc1c03ae2bf95ff
    Runtime bytes: 18990303
    Runtime SHA-256: 810d5c228cde848ed8df4f509676d79974eb0a13c64b88696dc997beaf51f5a
    llama-server.exe SHA-256: c932a2ac50dbdc5768399723e2e6e6295f7abcdf5243220729022c38ae2c415a

    The Q4_K_M model was verified with llama.cpp CPU inference and returned RADIO OK. Windows VM execution and Gold Eval remain pending. Product activation still requires Race Engineer Go to consume this pack through its installer-owned local model-pack contract; this release does not enable a model picker or runtime download.

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  • pocket-tts-v2.1.0-r3 d673a2d416

    Pocket TTS 2.1.0 TeamManager R3 clone runtime and official Alba
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    Pre-release

    Ghost released this 2026-07-24 15:52:00 +02:00 | 90 commits to main since this release

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  • pocket-tts-clone-weights-v2.1.0-r1 063ea6fd45

    Max released this 2026-07-16 06:23:09 +02:00 | 104 commits to main since this release

    Immutable Pocket 2.1.0 clone-capable language weights and authority source for signed TeamManager state compatibility. Verify the subsequent signed authority manifest before use.

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  • pocket-tts-multilang-v2.1.0-r1 c4d03b5904

    Max released this 2026-07-15 22:52:43 +02:00 | 105 commits to main since this release

    Managed Pocket TTS language packs from kyutai/pocket-tts revision 4c8ad48f8a003909bc4f1122cbe88a4252124621. CC-BY-4.0 attribution and upstream model-card terms apply. Verify SHA256SUMS before activation.

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  • whispercpp-v1.9.1 521f077f99

    Max released this 2026-07-12 23:50:50 +02:00 | 106 commits to main since this release

    Pinned Windows x64 whisper.cpp v1.9.1 runtime archive for TeamManager direct STT.\n\nProvenance: https://github.com/ggml-org/whisper.cpp/releases/tag/v1.9.1\nUpstream archive SHA-256: 7d8be46ecd31828e1eb7a2ecdd0d6b314feafd82163038ab6092594b0a063539\n\nUse the included manifest with existing Forgejo ggml-base-q5_1 multilingual model artifact. Runtime is not a product release; Windows integration evidence remains required.

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