litert-community/FastContext-1.0-4B-SFT

Card: measured device / browser results (edge-compat, 2026-09)

Card: compatibility line (edge-compat, 2026-09)

manifest: Android measured rows (Galaxy S26 GPU + same-device CPU control; Pixel 8a where run) and an Android recommendation where the evidence supports one

Add litertlm_manifest.json (deployment manifest 0.1.2: variant selection, verified backends, Android/Apple recommendations, measured rows with conditions)

Card: base_model_relation: quantized (list under the base model's Quantizations)

Add measured Raspberry Pi 5 (CPU) section

Add measured Galaxy S26 GPU backend section

Card: state where each on-device figure actually comes from; replace the iPhone row with a fresh measurement where one was taken

Card: measured Performance table (M4 Max CPU/GPU + on-device where measured), accuracy note

Document Gallery 1.0.16 direct Hugging Face import + desktop LiteRT-LM CLI (serve/run)

Upload model_block128.litertlm with huggingface_hub

Upload model.litertlm with huggingface_hub

Upload README.md with huggingface_hub

initial commit