Commit History

Yesterday

  1. Card: add a note on litert-lm's 10-minute send_message timeout

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    c0d6ee9

2 days ago

  1. litertlm_manifest.json: the externalized file's sha256, size and sections; min runtime 0.19.0 and the Android GPU known issue (LiteRT-LM#3986)

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    d3b033c
  2. Move the externalized file from the web branch to main (TFLiteWeights sections; Android GPU needs LiteRT-LM 0.19.0 or later)

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    597b47e

7 days ago

  1. Add known runtime issues: the second-turn stop token and the final mark before LiteRT-LM 0.17.0⁠

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    c024210

12 days ago

  1. Say that the CLI's Init counts engine creation twice (LiteRT-LM #4057)⁠

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    9493a41

25 days ago

  1. manifest 0.1.3: capabilities.thinking.control = model (what the bundle's template does about thinking, derived from the template inside the bundle)

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    90dc72b

26 days ago

  1. Card: measured device / browser results (edge-compat, 2026-09)

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    74a5c21

27 days ago

  1. GPU graph re-ship: KV-cache update and attention rewritten into the runtime's GPU composite ops plus a 16-token prefill signature; weights, tokenizer and metadata byte-identical; CPU output bit-identical (card and manifest updated)

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    1c9be2e

  1. Card: measured device / browser results (edge-compat, 2026-09)

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    96991f3
  2. Card: compatibility line (edge-compat, 2026-09)

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    8980f56

  1. Card: definition line (LiteRT, 2026-09)

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    5b756a5

  1. manifest: Galaxy S26 GPU rows from the S4 gate sweep (Android recommendation where none existed)

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    ef921ab
  2. Card: base_model_relation: quantized (list under the base model's Quantizations)

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    56874e2

  1. Add measured Raspberry Pi 5 (CPU) section⁠

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    6e57ddd

  1. Manifest: regenerate after the thought-channel re-pack (sha256 + capabilities.thinking)

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    33d43e2
  2. Card: note the thought-channel declaration (metadata only, weights unchanged)

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    2a20068
  3. Declare the thought channel so the reasoning is separable and the thinking budget applies (metadata only; weights byte-identical)

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    534513d

  1. Add measured Galaxy S26 GPU backend section⁠

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    4ca77d5

  1. Add litertlm_manifest.json — machine-readable deployment manifest (variant selection, backend recommendations, measured performance)

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    c2a4bca

  1. Card: measured Performance table (M4 Max CPU/GPU + on-device where measured), accuracy note

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    c7dc6d7

  1. docs: add Training data & PII section (submission-guideline compliance)

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    ab1a8fa

  1. Upload folder using huggingface_hub

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    384e95e
  2. initial commit

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    d50cf37