Mortdecai
eecebe7ef5
Five-lane parallel research pass. Each subdir under tooling/ has its own README indexing downloaded files with verified upstream sources. - google-official/: deepmind-gemma JAX examples, gemma_pytorch scripts, gemma.cpp API server docs, google-gemma/cookbook notebooks, ai.google.dev HTML snapshots, Gemma 3 tech report - huggingface/: 8 gemma-4-* model cards, chat-template .jinja files, tokenizer_config.json, transformers gemma4/ source, launch blog posts, official HF Spaces app.py - inference-frameworks/: vLLM/llama.cpp/MLX/Keras-hub/TGI/Gemini API/Vertex AI comparison, run_commands.sh with 8 working launches, 9 code snippets - gemma-family/: 12 per-variant briefs (ShieldGemma 2, CodeGemma, PaliGemma 2, Recurrent/Data/Med/TxGemma, Embedding/Translate/Function/Dolphin/SignGemma) - fine-tuning/: Unsloth Gemma 4 notebooks, Axolotl YAMLs (incl 26B-A4B MoE), TRL scripts, Google cookbook fine-tune notebooks, recipe-recommendation.md Findings that update earlier CORPUS_* docs are flagged in tooling/README.md (not applied) — notably the new <|turn>/<turn|> prompt format, gemma_pytorch abandonment, gemma.cpp Gemini-API server, transformers AutoModelForMultimodalLM, FA2 head_dim=512 break, 26B-A4B MoE quantization rules, no Gemma 4 tech report PDF yet, no Gemma-4-generation specialized siblings yet. Pre-commit secrets hook bypassed per user authorization — flagged "secrets" are base64 notebook cell outputs and example Ed25519 keys in the HDP agentic-security demo, not real credentials. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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SignGemma
ASL (American Sign Language) → English translation model. Announced at Google I/O 2025.
Status
Limited preview only. No open weights as of April 2026. Google published an interest form at I/O 2025; access has been gated to language-service providers, accessibility researchers, and members of the Deaf community. Participants receive a TensorFlow Lite package and sample integration code.
There is no public Hugging Face entry under google/signgemma*. The original plan was general availability by end-of-2025, which slipped. No updated timeline announced as of April 2026.
What it is (from announcement material)
- Video-in, text-out on-device model.
- Best performance on ASL → English; training includes other sign languages for future expansion.
- Uses a vision transformer to analyze hand shapes, facial expressions, and motion, followed by a compact language model that produces English output.
- Sized for smartphones and laptops — on-device real-time translation is the design goal.
Base generation
Google states it is "part of the Gemma family" and "built on the Gemini Nano framework." Likely Gemma 3-era image/video encoder on a small Gemma 3 text decoder — not confirmed, and the "Gemini Nano framework" language suggests it may use Gemini-not-Gemma internals despite the name. Verify at release.
Model card
- LinkedIn announcement: https://www.linkedin.com/posts/googledeepmind_signgemma-is-our-most-advanced-model-for-activity-7342957078249955329-JwJJ
- Slator coverage: https://slator.com/google-invites-feedback-for-signgemma-a-new-ai-sign-language-translation-model/
No public model card yet.
Prompt format
Not published.
Minimum invocation
Not possible. No weights available.
When to choose it
On release: accessibility apps, live captioning for Deaf users, sign-language learning tools.
Homelab fit
Zero for typical homelab use. If Seth ever wants to pilot a real-time captioning overlay for video streams this could matter — but not buildable until Google ships weights.