CPU model bundles for Early Access 015

Ready-to-run CPU model bundles for CrossPascal Early Access 015.

These packages contain the converted TVM libraries, weights, tokenizers and model manifests. Download the matching EA015 SDK and language runtime once. You do not need to install conversion tools or own an NVIDIA GPU.

Model	Inputs	Archive parts	Download size	Suggested system RAM
Gemma 2 2B Instruct	Experimental text completion	2	3.63 GiB	16 GiB
Gemma 3n E4B	Text and single-image questions	7	11.38 GiB	32 GiB
Qwen2.5-VL 3B Instruct	Text and single-image questions	3	5.22 GiB	24 GiB

How to start: download every numbered part for your chosen model into one folder. In 7-Zip, open .7z.001 and extract it once. Extract the EA015 SDK and language runtime ZIPs into the same parent folder. Run the supplied GemmaChat or QwenChat, select the extracted model folder containing model.json, and click Load model. Type a message, optionally attach an image for a compatible model, then click Generate. The downloadable README for each model gives the full mouse-only instructions.

Gemma 3n's combined package supports both text and images, so there is no second copy of its text weights to download. Gemma 3n and Qwen2.5-VL CPU libraries require an AVX2/FMA-capable, Haswell-compatible or newer x64 CPU. Windows x64 is the tested platform. CPU image processing can take minutes; the models are large, and available RAM and storage speed matter.

Accepted scope: Gemma 3n E4B and Qwen2.5-VL 3B use the image/text paths checked on the EA015 clean installation in Delphi 13.2 and Lazarus 4.8. The supplied application binaries are built only with Lazarus. Gemma 2 2B is an experimental short raw-completion profile, with the earlier attention approximation retained; it is not a full or long-context Gemma 2 equivalence claim. Each package contains its precise acceptance scope and checksums. Model inference bytes match their accepted source bundles. Archive extraction and complete file hashes were checked separately.

Model terms: Gemma packages include the Gemma Terms of Use and Prohibited Use Policy. Qwen2.5-VL 3B is provided under its Qwen Research License, for non-commercial research and evaluation; commercial use requires a separate license from the licensor. Built with Qwen. Model weights do not acquire CrossPascal's code license.

Gemma 3n E4B comes from the pinned Ollama Q4_K_M GGUF, expanded to FP32 for this TVM route. Qwen2.5-VL uses the pinned original 3B checkpoint. The 224-pixel Qwen profile is intended for simple visual questions, not high-resolution OCR. Audio/video inputs and other untested checkpoint sizes are not claimed. Dense Qwen2.5 and Coder CUDA bundles are outside this CPU-only release.

Documentation update - 9 November 2026

The accompanying README files, setup guides and preparation helper use the public-download workflow. SHA-256 inventories were refreshed for these revised packages. Model weights and inference binaries are unchanged. Existing Git tags retain the original code baseline; current setup guidance is maintained in the default branches.