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>
2.2 KiB
DolphinGemma
Marine biology / dolphin vocalization model. Developed with the Wild Dolphin Project (WDP) and Georgia Tech. Announced April 2025.
Status
Not publicly released as of April 2026. DeepMind's page states "DolphinGemma is currently in development. On release, it will be openly available." No weights on Hugging Face, Kaggle, or Google AI for Developers. Google's 2025 post anticipated a summer 2025 open-source release; that slipped.
If you see a dolphingemma-* tag somewhere, it is either community-named (not Google) or a leaked checkpoint. Verify the uploader is google/ on HF.
What it is (from announcement material)
- Audio-in, audio-out model.
- Trained on tens of thousands of hours of Atlantic spotted dolphin vocalizations.
- Predicts the next sound in a sequence (same training objective as an LLM, just in the audio token domain).
- ~400M parameters — small enough to run on a Pixel phone in the field.
- Intended to plug into the CHAT (Cetacean Hearing Augmentation Telemetry) system to accelerate real-time pattern recognition during dolphin interactions.
Base generation
Announced as "built on Google's open Gemma series." Google has not disclosed which generation. Given the mid-2025 timing and 400M size, most likely Gemma 3-era tech, but this is an educated guess, not confirmed.
Model card
- DeepMind: https://deepmind.google/models/gemma/dolphingemma/
- Blog: https://blog.google/innovation-and-ai/products/dolphingemma/
No model card on ai.google.dev yet (expected once released).
Prompt format
Not published. The audio-token I/O format will depend on the tokenizer Google picked (e.g., SoundStream, Whisper-style, or a custom cetacean-phoneme tokenizer). Wait for release.
Minimum invocation
Not possible. No weights available.
When to choose it
If and when it ships: marine biology research, specifically Atlantic spotted dolphins. Fine-tunable for other cetacean species per Google.
Homelab fit
Zero for normal use. If it ships and Seth wants a novelty "run the model on a cheap Pi and watch it hallucinate dolphin whistles" project, it's a candidate for the 400M-parameter slot on seth-pi. Until then, nothing to deploy.