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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>
27 lines
2.2 KiB
Markdown
27 lines
2.2 KiB
Markdown
# gemma4-research
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Research corpus and implementation guidance for Google Gemma 4, based on production use in Seth's homelab.
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## Files
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| File | What | When to Read |
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| `SYNTHESIS.md` | **Start here.** Opinionated guide — how to build with Gemma 4 | Before any new Gemma 4 implementation |
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| `GOTCHAS.md` | Known issues and workarounds, severity-ranked | When debugging Gemma 4 issues or starting a new project |
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| `IMPLEMENTATIONS.md` | Patterns from Simon and AI_Visualizer | When designing a new Gemma 4 integration |
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| `CORPUS_architecture.md` | Model architecture details (layers, attention, PLE, MoE) | When you need to understand WHY Gemma 4 behaves a certain way |
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| `CORPUS_ollama_variants.md` | Available models, sizes, VRAM, Ollama settings | When choosing a model variant or configuring Ollama |
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| `CORPUS_capabilities.md` | Modalities (vision, audio, video, tools), what it can/can't do | When scoping what Gemma 4 can handle |
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| `CORPUS_benchmarks.md` | Full benchmark table vs Gemma 3, arena scores, agentic scores | When comparing Gemma 4 to alternatives |
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| `CORPUS_tool_calling_format.md` | Native token format + JSON API format for function calling | When implementing tool calling |
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| `tooling/` | **Canonical upstream tooling** — real scripts, notebooks, model cards, and configs pulled from Google / HF / framework maintainers (147 files). Subdirs: `google-official/`, `huggingface/`, `inference-frameworks/`, `gemma-family/`, `fine-tuning/`. See `tooling/README.md` for index and findings that update the older `CORPUS_*` docs | When you need authoritative source material — model cards, chat templates, fine-tuning recipes, serving commands for vLLM / llama.cpp / MLX, or to scope a specialized sibling (ShieldGemma, EmbeddingGemma, etc.) |
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## Source Projects
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- **Simon** (`~/bin/FreibergFamily/simon/`) — Multi-turn chat agent with 6 tools, genealogy historian
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- **AI Visualizer** (`~/bin/AI_Visualizer/`) — Music video generator, 4-stage Gemma pipeline + vision
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## Key Insight
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Gemma 4 is ultra-compliant and highly capable but doesn't know who it is. It needs explicit system prompts, not hand-holding. Due to fast local inference, sequential tool calls beat long JSON requests.
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