Open-weight models compiled for phones, with published recipes, checksums, smoke tests, and benchmark evidence.
experimentalmachines.org · experimentalintelligence.org · GitHub · OpenWeights on Google Play
This organization has 18 public model repositories. Collections are the catalog and recommendation surface; they group deployment exports by family and keep the organization page focused on artifacts that run in OpenWeights.
| Collection | Contents |
|---|---|
| LFM2.5 for ExecuTorch | LFM2.5 1.2B and 2.6B exports. |
| LFM2.5 Abliterated for ExecuTorch | The 1.2B and 2.6B heretic exports. |
| Qwen3 for ExecuTorch | Qwen3 exports. |
| Qwen2.5 for ExecuTorch | Qwen2.5 exports. |
| Llama 3.2 for ExecuTorch | Llama 3.2 exports. |
| SmolLM2 for ExecuTorch | SmolLM2 exports. |
| QwenGrad for ExecuTorch | The evaluated deployment build from the OpenGrad study. |
Every compiled export card records its source revision, quantization recipe, fixed context window, file checksum, and host-runner smoke-test result. Benchmark results are reported separately, so a runnable export is never represented as a behavioral recommendation without device evidence.
The LFM2.5 entries use the corrected prompt-state recipe and GPTQ-solved int4 weights. The heretic variants are published only as their validated ExecuTorch deployment exports; there are no separate bare heretic source-checkpoint repositories in this organization.
QwenGrad-DPO is intentionally outside the collections. It is the standard Transformers-format checkpoint from the OpenGrad research study; its paired phone deployment export is in the QwenGrad collection.
executorch-model-exporter builds supported models on GitHub-hosted runners, smoke-tests them with the same runner used by the app, and publishes the .pte programs, reports, and app-readable configuration here. The supported delegates are XNNPACK, Qualcomm QNN, MediaTek NeuroPilot, and Vulkan where the model family has a validated recipe.
Phone measurements and their raw results are published at latency, context window, and reruns.
Contact: alpha@experimentalmachines.org ยท arjhine@experimentalmachines.org