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>
18 lines
707 B
Bash
18 lines
707 B
Bash
#!/usr/bin/env bash
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# Canonical Gemma 4 call via the Gemini API (Google AI Studio).
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# Source: https://ai.google.dev/gemma/docs/core/gemma_on_gemini_api
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# Hosted model IDs (2026-04): gemma-4-31b-it, gemma-4-26b-a4b-it
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# Note: hosted variants are the big ones only; on-device E2B/E4B are NOT served on the Gemini API.
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export GEMINI_API_KEY="..." # from https://aistudio.google.com/apikey
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curl "https://generativelanguage.googleapis.com/v1beta/models/gemma-4-26b-a4b-it:generateContent" \
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-H 'Content-Type: application/json' \
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-H "x-goog-api-key: ${GEMINI_API_KEY}" \
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-X POST \
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-d '{
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"contents": [{
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"parts": [{"text": "Write a haiku about inference framework fragmentation."}]
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}]
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}'
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