Skip to page content
SAVRN
Search Plan a project

Organization

Experimental Machines

experimentalmachines

Accelerated Computing

Models in Library2
Datasets in Library0
Models on Hugging Face18
Followers4

Compare the published evidence

This profile connects the 2 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: llama3.2, other. 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

Built with Llama ExecuTorch exports of meta-llama/Llama-3.2-1B-Instruct (revision 9213176726f5) for on-device inference with the openweights Android app or any ExecuTorch 1.4.0 runtime. Windows in this repo: XNNPACK (CPU) at 2k to 32k; Vulkan (GPU) at 2k to 32k; Qualcomm QNN (HTP) SM8750 (Snapdragon 8 Elite) at 2k to 8k; MediaTek NeuroPilot MT6991 (Dimensity 9400) at 2k to 16k. The window is fixed inside the file: the runtime allocates the whole KV cache at load, so pick the largest window the device can hold (fitsphonebudget in each folder's config.json is the estimate against a 5 GB budget). MediaTek folders also hold the token embedding table the NeuroPilot runner reads from disk, shared…

Open weights llama3.2 executorch
View model

ExecuTorch exports of experimentalmachines/LFM2.5-1.2B-Instruct-heretic (revisions 300a0717dd75, 435177079cc7 (see each variant's sourcerevision)) for on-device inference with the openweights Android app or any ExecuTorch 1.4.0 runtime. Windows in this repo: XNNPACK (CPU) at 2k to 32k; MediaTek NeuroPilot MT6991 (Dimensity 9400) at 512 to 16k. The window is fixed inside the file: the runtime allocates the whole KV cache at load, so pick the largest window the device can hold (fitsphonebudget in each folder's config.json is the estimate against a 5 GB budget). MediaTek folders also hold the token embedding table the NeuroPilot runner reads from disk, shared by every window…

Open weights other executorch
View model