Instructions to use litert-community/North-Micro-Vision-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT-LM
How to use litert-community/North-Micro-Vision-Instruct with LiteRT-LM:
# LiteRT-LM runs on various platforms (Android, iOS, Windows, Linux, macOS, IoT, Web/WASM) # and supports many APIs (C++, Python, Kotlin, Swift, JavaScript, Flutter). # For platform-specific integration guides, please refer to the official developer website: # https://ai.google.dev/edge/litert-lm # To try LiteRT-LM, the easiest way is to use our CLI tool. # 1. Install the LiteRT-LM CLI tool: pip install -U litert-lm # 2. Download and run this model locally: # See: https://ai.google.dev/edge/litert-lm/cli # A single .litertlm file in the repo is picked automatically; otherwise the CLI asks which one to run # (or pass its name right after the repo id). litert-lm run \ --from-huggingface-repo=litert-community/North-Micro-Vision-Instruct \ --prompt="Write me a poem"
- LiteRT
How to use litert-community/North-Micro-Vision-Instruct with LiteRT:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Commit History
Today
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Say that the CLI's Init counts engine creation twice (LiteRT-LM #4057)
Verified signatureThe CLI's printed Init includes both Init Total and the phases inside it. One sentence, no number changed.7f591a1
6 days ago
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Card: 2026-10-15 tokenizer fix (tokenizer section replaced by the upstream tokenizer): 17 times 23 is read as 17 × 23; the tokenizer, 8-question gate and device lines now name the files they describe
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Card: measured device / browser results (edge-compat, 2026-09)
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Card: base_model_relation: quantized (list under the base model's Quantizations)
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Card: note the chat-template fix for role-'assistant' history (weights unchanged)
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Add measured Galaxy S26 GPU backend section
Verified signatureFunctional verdict from the S26 GPU gate. Primary log: litertlm-convert/community_accel_work/s4_gpu_gate/results.jsonl. Delegation counts and peak RSS are read from that run's own log; throughput is deliberately absent, because an Android GPU speed is not quotable without a CPU row from the same phone and that control has not been run.5b8ffed
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card: on-device demo table (Pixel 8a answers on two HF sample photos)
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card: iPhone 17 Pro re-gate on the published file (vision probes 2/2, peak 2.9-3.0 GB, TTFT 2.3-5.0 s) + Core AI same-device paragraph
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North-Micro-Vision-Instruct LiteRT-LM card
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