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>
45 lines
2.2 KiB
Markdown
45 lines
2.2 KiB
Markdown
# DolphinGemma
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Marine biology / dolphin vocalization model. Developed with the Wild Dolphin Project (WDP) and Georgia Tech. Announced April 2025.
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## Status
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**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.
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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.
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## What it is (from announcement material)
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- **Audio-in, audio-out** model.
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- Trained on tens of thousands of hours of Atlantic spotted dolphin vocalizations.
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- Predicts the next sound in a sequence (same training objective as an LLM, just in the audio token domain).
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- **~400M parameters** — small enough to run on a Pixel phone in the field.
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- Intended to plug into the CHAT (Cetacean Hearing Augmentation Telemetry) system to accelerate real-time pattern recognition during dolphin interactions.
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## Base generation
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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.
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## Model card
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- DeepMind: https://deepmind.google/models/gemma/dolphingemma/
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- Blog: https://blog.google/innovation-and-ai/products/dolphingemma/
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No model card on ai.google.dev yet (expected once released).
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## Prompt format
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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.
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## Minimum invocation
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Not possible. No weights available.
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## When to choose it
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If and when it ships: marine biology research, specifically Atlantic spotted dolphins. Fine-tunable for other cetacean species per Google.
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## Homelab fit
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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.
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