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PyTorch to LiteRT Conversion Guide — measured AI agent skill | DecimalAI

google-ai-edge/converting-pytorch-to-litert

SkillScore95Maintained

Converts PyTorch models (e.g. ResNet, timm, HuggingFace transformers) directly to LiteRT (.tflite) flatbuffer format. Use when converting PyTorch models to TFLite, setting up export environments, or troubleshooting torch-to-litert conversion bugs. Don't use for ONNX exports or converting existing TensorFlow models.

AI/MLby google-ai-edge

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AI Engineer pack

1 · One-time — install the CLI (docs ↗)

pip install decimalai

2 · Get the skill — writes .claude/skills/google-ai-edge-converting-pytorch-to-litert/SKILL.md

decimalai skills pull google-ai-edge-converting-pytorch-to-litert --out .claude/skills/

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/google-ai-edge-converting-pytorch-to-litert/SKILL.md https://app.decimal.ai/s/google-ai-edge-converting-pytorch-to-litert/SKILL.md

Raw file: /s/google-ai-edge-converting-pytorch-to-litert/SKILL.md ↗ · machine-readable summary at /s/google-ai-edge-converting-pytorch-to-litert.json ↗

In productionGlobal

how this skill behaves on real traffic · last 30 days

No production data for this skill yet — usage numbers appear here once agents start running it.

Anonymized aggregate across every org using this skill — proof from real production use, not a demo.

Does this skill help? · Benchmark: with vs. withoutsign in to run this on your agents

22 test cases from the publisher’s eval.yaml · each run twice on gemini-3.6-flash — with the skill injected, then without · last run 4h ago

—-36% tokens0% turns95% of whole cases pass with skill (21/22)

Test case	Without → With	Effect	Δ tokens	Δ turns
case-15	✗→✓	▲ Improved	31%	0%
case-03	✗→✓	▲ Improved	-28%	0%
case-14	✗→✓	▲ Improved	-28%	0%
case-01	✗→✓	▲ Improved	-63%	0%
case-02	✗→✓	▲ Improved	-17%	0%

Showing 5 of 22 cases

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/3/2026

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

google-ai-edge / litert-torch

SKILL.md

View on GitHub ↗

License Apache-2.0Imported 8/3/2026Version v1

Skill contents

SKILL.md

PyTorch to LiteRT Conversion Guide

ATTENTION ALL AGENTS: If you are tasked with converting a PyTorch model (e.g., ResNet or similar architectures) to a .tflite flatbuffer format in this repository, you must strictly follow these rules based on recent project findings:

1. Direct Conversion Only (No ONNX)

Bypass ONNX entirely. Do not attempt to export the model to ONNX or use onnx2tf. Convert directly from PyTorch to LiteRT.

2. Use `litert-torch`

Use the litert-torch library for the direct PyTorch to TFLite conversion. Note that ai-edge-torch is deprecated and has been officially renamed to litert-torch.

3. Strict Python Environment Rules

Do NOT use Python 3.14. It currently has compatibility issues with typing in torchao (AttributeError: 'typing.Union' object has no attribute '__module__').
Use Python 3.11 (e.g., python3.11) as it is highly recommended for stability and avoids the aforementioned type hint bugs.

4. Dependencies

Before running any conversion script, ensure the following are installed in your python3.11 environment:

bash
python3.11 -m pip install torch transformers timm litert-torch ai-edge-litert litert-cli-nightly

Want to see if google-ai-edge/converting-pytorch-to-litert would activate on your phrasing? Try it before you install — no LLM call, no signup.

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