The catalogue

Open source models, chosen well

A curated catalogue of open source models, downloaded straight from Hugging Face and verified on arrival. Pick by memory, by use case, or let the flagship do the work.

NVIDIA Llama Nemotron Nano

The flagship. A reasoning model sized for laptops, quick enough to feel instant on Apple Silicon.

Flagship
FamilySizesBest forSuggested memory
NVIDIA NemotronNano 4B and upReasoning, everyday chat, the default choice8 GB and above
Llama 31B to 70BGeneral assistance, writing, long context8 GB to 64 GB
Qwen 30.6B to 32BMultilingual work and coding8 GB to 48 GB
Gemma 31B to 27BCompact quality on smaller machines8 GB to 32 GB
Phi 4mini to 14BFast responses on modest hardware8 GB to 24 GB
DeepSeek R1 Distill1.5B to 32BStep-by-step reasoning and maths8 GB to 48 GB
Mistral7B and SmallBalanced, dependable generalists16 GB and above

Guidance, not gatekeeping. The in-app catalogue reads your machine's memory and tells you what will run comfortably before you download anything.

Under the bonnet

Downloaded openly, verified strictly

Open weights

Straight from Hugging Face

Every model in the catalogue is open source with published weights. Downloads are resumable, so a dropped connection costs you minutes, not gigabytes.

Verified

SHA-256 on every file

Each downloaded file is integrity-checked against a per-file SHA-256 hash before it can ever be loaded. If a byte is wrong, the model does not run.

Unmodified

Exactly as published

Pathway Lite runs models exactly as their creators published them on Hugging Face. No retraining, no fine-tuning and no modification, so what you download is what the community reviewed.

Make it yours

The model answers to you

Your system prompt, your rules

Rewrite the system prompt to shape tone, format and behaviour, per chat or per project. No vendor defaults you cannot see or change.

Temperature on a dial

Turn it down for precise, repeatable answers, or up for looser, more creative output. Adjust it mid-conversation and see the difference immediately.

The catalogue

Pick a model. Own the whole loop.