Quantized Gemma 4 26B WebGPU.litertlm bundles for LiteRT-LM Web, with support for: - Text Decoder + Neural Multi-Token Prediction (MTP) speculative decoding (gpuartisan) - Multimodal Vision (visionencoder + visionadapter + endofvision, supporting variable token budgets [70, 140, 280, 560, 1120]) - Multimodal Audio (audioencoderhw Conformer + audioadapter + endofaudio) - gemma-4-26B-it-web-mtp.litertlm - gemma-4-26B-it-web-mtp-vision.litertlm - gemma-4-26B-it-web-mtp-audio.litertlm - gemma-4-26B-it-web-mtp-vision-audio.litertlm
Independent publisher
Jess Fan
jfan
Models in Library6
Datasets in Library0
Models on Hugging Face8
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This profile connects the 6 model and dataset records shown below to their upstream cards and sources. The library counts describe SAVRN's coverage, rather than this publisher's entire output.
Published tasks: Text generation.
Reported licenses: apache-2.0, gemma. Open a record to review its specific license and conditions.
Compare model specifications, source dates, and hardware estimates on the individual records. Publisher identity verification is separate from a model's quality, deployment readiness, or suitability for your work.
Models
Quantized Gemma 4 12B WebGPU.litertlm bundles for LiteRT-LM Web, with support for: - Text Decoder + Neural Multi-Token Prediction (MTP) speculative decoding (gpuartisan) - Multimodal Vision (visionencoder + visionadapter + endofvision, supporting variable token budgets [70, 140, 280, 560, 1120]) - Multimodal Audio (audioencoderhw Conformer + audioadapter + endofaudio) - gemma-4-12B-it-web-mtp.litertlm - gemma-4-12B-it-web-mtp-vision.litertlm - gemma-4-12B-it-web-mtp-audio.litertlm - gemma-4-12B-it-web-mtp-vision-audio.litertlm
Quantized Gemma 4 31B WebGPU.litertlm bundles for LiteRT-LM Web, with support for: - Text Decoder + Neural Multi-Token Prediction (MTP) speculative decoding (gpuartisan) - Multimodal Vision (visionencoder + visionadapter + endofvision, supporting variable token budgets [70, 140, 280, 560, 1120]) - gemma-4-31B-it-web-mtp.litertlm - gemma-4-31B-it-web-mtp-vision.litertlm
WebAssembly + WebGPU runtime binaries and the matching @litert-lm/core TypeScript SDK for running Gemma 4 (E2B, E4B, 12B, 26B-A4B, 31B) in the browser with: - Text decode with shared-KV neural Multi-Token Prediction (MTP) speculative decoding (GPUARTISAN backend, gamma 1-3, greedy token-for-token equivalence with standard decode). - Multimodal vision (SigLIP encoder on WebGPU, 70 / 140 / 280 / 560 / 1120 token budgets, zero-copy RGBA8 ImageData preprocessing, per-budget executor memory release). - Multimodal audio (Conformer encoder, streaming markers, zero-copy audio ingestion). - Streamed model loading for 2-20 GB.litertlm bundles under wasm32 (MAXIMUMMEMORY=4GB), with section filtering…
Web-optimized gemma-4-E2B-it LiteRT-LM bundles for browser (WebGPU) execution, built with the official conversion pipeline (exportvit, convertermain, litertlmbuildercli). - Multi-signature visionencoder (vision70, vision140, vision280, vision560, vision1120) exported via //thirdparty/odml/generative/modules/gemini/export:exportvit with QAT Int8 weight recovery and query-chunked attention (maxquerychunksize = 630, $k=16$ at vision1120). - Artisan decoder visiontokensnum: 1121 (tokensnum = 1120).
Web-optimized gemma-4-E4B-it LiteRT-LM bundles for browser (WebGPU) execution, built with the official conversion pipeline (exportvit, convertermain, litertlmbuildercli). - Multi-signature visionencoder (vision70, vision140, vision280, vision560, vision1120) exported via //thirdparty/odml/generative/modules/gemini/export:exportvit with QAT Int8 weight recovery and query-chunked attention (maxquerychunksize = 630, $k=16$ at vision1120). - Artisan decoder visiontokensnum: 1121 (tokensnum = 1120).